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Last updated on July 5, 2020. This conference program is tentative and subject to change

Technical Program for Monday July 20, 2020

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MoAT1  Oral Session
Theme 01. Biomedical Signal Processing  
 
 
08:30-09:45, Subsession MoAT1-01,
Theme 01 - Adaptive and Parametric Filtering   Oral Session, 5 papers
 
08:30-10:00, Subsession MoAT1-02,
Theme 01 - Connectivity and Causality   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-03,
Theme 01 - Data Mining for Biosignals I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-04,
Theme 01 - Data Mining for Biosignals II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-05,
Theme 01 - Deep Learning Methods for Electrophysiological Signals   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-06,
Theme 01 - Deep Learning Methods for Neuroimaging Signals   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-07,
Theme 01 - Deep Learning Methods in Biosignal Analysis I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-08,
Theme 01 - Deep Learning Methods in Biosignal Analysis II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-09,
Theme 01 - Independent and Principal Component Analysis   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-10,
Theme 01 - Neural Networks and Support Vector Machines for Biosignal Analysis   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-11,
Theme 01 - Neural Networks and Support Vector Machines for Electrophysiological Signals   Oral Session, 6 papers
 
08:30-09:30, Subsession MoAT1-12,
Theme 01 - Nonlinear Analysis of Biosignals   Oral Session, 4 papers
 
08:30-10:00, Subsession MoAT1-13,
Theme 01 - Pattern Detection and Classification in ECG Signals-I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-14,
Theme 01 - Pattern Detection and Classification in ECG Signals-II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-15,
Theme 01 - Pattern Detection and Classification in ECG Signals-III   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-16,
Theme 01 - Physiological Systems Modeling I   Oral Session, 6 papers
 
08:30-09:45, Subsession MoAT1-17,
Theme 01 - Physiological Systems Modeling II   Oral Session, 5 papers
 
08:30-10:00, Subsession MoAT1-18,
Theme 01 - Signal Processing and Classification for Atrial Fibrillation   Oral Session, 6 papers
 
08:30-09:45, Subsession MoAT1-19,
Theme 01 - Signal Processing and Classification for Brain Computer Interfaces   Oral Session, 5 papers
 
08:30-10:00, Subsession MoAT1-20,
Theme 01 - Signal Processing and Classification for Cardiovascular Signals   Oral Session, 6 papers
 
08:30-09:45, Subsession MoAT1-21,
Theme 01 - Signal Processing and Classification for Contactless and Wearable Systems   Oral Session, 5 papers
 
08:30-10:00, Subsession MoAT1-22,
Theme 01 - Signal Processing and Classification for Motor Imagery   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-23,
Theme 01 - Signal Processing and Classification for Seizure Detection and Prediction   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-24,
Theme 01 - Signal Processing and Classification for the Analysis of Brain-Heart Interactions   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-25,
Theme 01 - Signal Processing and Classification for Wearable Systems   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-26,
Theme 01 - Signal Processing and Classification in Fetal and Neonatal Physiology   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-27,
Theme 01 - Signal Processing and Classification in Sleep Studies   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-28,
Theme 01 - Signal Processing and Classification of Electromyographic Signals I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-29,
Theme 01 - Signal Processing and Classification of Electromyographic Signals II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-30,
Theme 01 - Signal Processing and Classification of Heart Rate Variability   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-31,
Theme 01 - Signal Processing and Classification of High-Density Electromyographic Signals   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-32,
Theme 01 - Signal Processing and Classification of Lung and Breathing Sounds   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-33,
Theme 01 - Signal Processing and Classification of Motion Signals for Parkinson s Disease   Oral Session, 6 papers
 
08:30-09:45, Subsession MoAT1-34,
Theme 01 - Signal Processing and Classification of Movement-Related Signals   Oral Session, 5 papers
 
08:30-10:00, Subsession MoAT1-35,
Theme 01 - Signal Processing and Classification of Multivariate and Multimodal Biosignals I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-36,
Theme 01 - Signal Processing and Classification of Multivariate and Multimodal Biosignals II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-37,
Theme 01 - Signal Processing and Classification of Neural Signals   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-38,
Theme 01 - Signal Processing and Classification of Photoplethysmographic Signals   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-39,
Theme 01 - Signal Processing for Biosignal Artefact Detection and Removal   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-40,
Theme 01 - Speech Signal Processing and Classification for Hearing-Aid Systems   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-41,
Theme 01 - Time-Frequency Analysis of Biosignals   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-42,
Theme 01 - Time-Frequency Analysis of Electrophysiological Signals Ι   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT1-43,
Theme 01 - Time-Frequency Analysis of Electrophysiological Signals ΙI   Oral Session, 6 papers
 
MoAT1-01  Oral Session Add to My Program 
Theme 01 - Adaptive and Parametric Filtering  
 
 
08:30-08:45, Paper MoAT1-01.1 Add to My Program
Estimating the Shape of the Fetal Pulse Curve for Transabdominal Pulse Oximetry Using Synchronous Averaging

Böttrich, MarcelTechnische Universität Ilmenau
Laqua, DanielIlmenau University of Technology
Husar, PeterIlmenau University of Technology
 
08:45-09:00, Paper MoAT1-01.2 Add to My Program
Automating the Correction of Flow Integration Drift During Whole-Body Plethysmography

Stucky, FrédéricUniversity of Lausanne
Cazzaniga, GiacomoPolitecnico Di Milano
Aliverti, AndreaPolitecnico Di Milano
Kayser, BengtUniversity of Lausanne
Uva, BarbaraUniversity of Lausanne
 
09:00-09:15, Paper MoAT1-01.3 Add to My Program
Hilbert Huang Transformation with Filtering As a Pre-Treatment Method for the Quantitative Study of Glucose in Near Infrared Spectra

Patchava, Krishna ChaitanyaQingdao University
Benaissa, MohammedThe University of Sheffield
shuzhi, Sam GeNational University of Singapore
 
09:15-09:30, Paper MoAT1-01.4 Add to My Program
Regularized Estimation of Effective Scatterer Size and Acoustic Concentration Quantitative Ultrasound Parameters Using Dynamic Programming

Jafarpisheh, NoushinConcordia University
Rosado-Mendez, Ivan MiguelInstituto De Fisica, Universidad Nacional Autonoma De Mexico
Hall, Timothy J.University of Wisconsin
Rivaz, HassanConcordia University
 
09:30-09:45, Paper MoAT1-01.5 Add to My Program
Identification of the Vibrations Corresponding with Heart Sounds Using Vibrational Cardiography

D'Mello, YannickMcGill University
Skoric, JamesMcGill University
Hakim, SiddiquiMcGill University
Aboulezz, EzzMcGill University
Clairmonte, NathanMcGill University
Lortie, MichelMacDonald, Dettwiler and Associates Corporation
Plant, DavidMcGill University
 
MoAT1-02  Oral Session Add to My Program 
Theme 01 - Connectivity and Causality  
 
 
08:30-08:45, Paper MoAT1-02.1 Add to My Program
Analysis of Electrohysterographic Signal Propagation Direction During Uterine Contraction: The Application of Directed Information

Xu, YuhangCoventry University
Hao, DongmeiBeijing University of Technology
Zheng, DingchangCoventry University
 
08:45-09:00, Paper MoAT1-02.2 Add to My Program
Information Dynamics Analysis: A New Approach Based on Sparse Identification of Linear Parametric Models

Antonacci, YuriUniversity of Rome Sapienza
Faes, LucaUniversity of Palermo
Astolfi, LauraUniversity of Rome Sapienza
 
09:00-09:15, Paper MoAT1-02.3 Add to My Program
Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer's Disease Continuum

Ruiz-Gómez, Saúl J.Biomedical Engineering Group, University of Valladolid
Gomez, CarlosUniversity of Valladolid, CIF: Q4718001C
Poza, JesusUniversity of Valladolid
Revilla-Vallejo, MarcosBiomedical Engineering Group
Gutiérrez-de-Pablo, VíctorBiomedical Engineering Group
Rodríguez-González, VíctorBiomedical Engineering Group, University of Valladolid
Maturana-Candelas, AarónUniversity of Valladolid
Hornero, RobertoUniversity of Valladolid
 
09:15-09:30, Paper MoAT1-02.4 Add to My Program
Emotional Networked Maps from EEG Signals

Gomez Montoya, AlejandroUniversidad EAFIT
Quintero Montoya, Olga LuciaUniversidad EAFIT
López, Natalia MUniversidad Nacional De San Juan
Villa Montoya, Luisa FernandaUniversidad De Medellín
 
09:30-09:45, Paper MoAT1-02.5 Add to My Program
Decoding Pigeon Behavior Outcomes During Goal-Directed Decision Task by WSR Functional Network Analysis

Cheng, ShuguanZhengzhou University
Li, MengmengZhengzhou University
Yu, HaifeiZhengzhou University
Zhao, KunZhengzhou University
Liu, ShuoHenan Provincial People's Hospital
Wan, HongZhengzhou University
 
09:45-10:00, Paper MoAT1-02.6 Add to My Program
The Effect of Longitudinal Training on Working Memory Capacities: An Exploratory EEG Study

Pei, ZianWuyi University
Xu, TaoWuyi University
Bezerianos, AnastasiosNational University of Singapore
Li, junhuaWuyi University
Sun, YuZhejiang University
Wang, HongtaoWuyi University
 
MoAT1-03  Oral Session Add to My Program 
Theme 01 - Data Mining for Biosignals I  
 
 
08:30-08:45, Paper MoAT1-03.1 Add to My Program
Response to Vagal Stimulation by Heart-Rate Features in Drug-Resistant Epileptic Patients*

Plesinger, FilipInstitute of Scientific Instruments of the CAS, V.v.i
Halamek, JosefInstitute of Scientific Instruments
Chladek, JanInstitute of Scientific Instruments, ASCR, V.v.i
Jurak, PavelInst of Scientific Instruments Academy
Irena, DolezalovaBrno Epilepsy Center, Department of Neurology, St Anne’s Univers
Chrastina, JanSt. Anne´s University Hospital, Brno
Brazdil, MilanMasaryk University Brno
 
08:45-09:00, Paper MoAT1-03.2 Add to My Program
A Spectral Clustering Approach for the Classification of Waveform Anomalies in High-Dimensional Brain Signals

Stamoulis, CatherineHarvard Medical School
 
09:00-09:15, Paper MoAT1-03.3 Add to My Program
Gaussian Processes with Physiologically-Inspired Priors for Physical Arousal Recognition

Ghiasi, ShadiUniversity of Pisa
Patane, AndreaDepartment of Computer Science, University of Oxford
Greco, AlbertoUniversity of Pisa
Laurenti, LucaDepartment of Computer Science, University of Oxford
Scilingo, Enzo PasqualeUniversity of Pisa
Kwiatkowska, MartaUniversity of Oxford
 
09:15-09:30, Paper MoAT1-03.4 Add to My Program
Random Forest-Based Algorithm for Sleep Spindle Detection in Infant EEG

Wei, LanUniversity College Dublin
Mooney, CatherineUniversity College Dublin
Lowery, MadeleineUniversity College Dublin
Soraia, VenturaUniversity College Cork
Mathieson, SeanUniversity College Cork
Boylan, GeraldineUniversity College Cork
Ryan, Mary AnneUniversity College Cork
 
09:30-09:45, Paper MoAT1-03.5 Add to My Program
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves

Sharan, Roneel V.Macquarie University
Berkovsky, ShlomoMacquarie University
Taib, RonnieCSIRO
Koprinska, IrenaUniversity of Sydney
Li, JingjieUniversity of Wisconsin-Madison
 
09:45-10:00, Paper MoAT1-03.6 Add to My Program
Analysis of Selective Attention Processing on Experienced Simultaneous Interpreters Using EEG Phase Synchronization

Yagura, HarukoNara Institute of Science and Technology
Tanaka, HirokiNara Institute of Science and Technology
Kinoshita, TaikiNara Institute of Science and Technology
watanabe, hirokiNara Institute of Science and Technology
Motomura, ShunnosukeNara Institute of Science and Technology
Sudoh, KatsuhitoNara Institute of Science and Technology
Satoshi, NakamuraNara Institute of Science and Technology
 
MoAT1-04  Oral Session Add to My Program 
Theme 01 - Data Mining for Biosignals II  
 
 
08:30-08:45, Paper MoAT1-04.1 Add to My Program
Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of Sepsis

Mahmud, MdshaadUniversity of New Hampshire
Wickramaratne, SajilaUniversity of New Hampshire
 
08:45-09:00, Paper MoAT1-04.2 Add to My Program
Audio for Audio Is Better? an Investigation on Transfer Learning Models for Heart Sound Classification

Koike, TomoyaUniversity of Tokyo
Qian, KunThe University of Tokyo
Kong, QiuqiangUniversity of Surrey
Plumbley, MarkUniversity of Surrey
Schuller, BjoernUniversity of Augsburg / Imperial College London
Yamamoto, YoshiharuThe University of Tokyo
 
09:00-09:15, Paper MoAT1-04.3 Add to My Program
Soft Tissue Characterization with Temporal Enhanced Ultrasound through Periodic Manipulation of Point Spread Function: A Feasibility Study

Gerolami, JustinQueen's University
Jamzad, AmoonQueen's University
Li, Si JiaUniversity of Washington
Bayat, ShararehUniversity of British Columbia
Abolmaesumi, PurangUBC
Mousavi, ParvinQueen's University
 
09:15-09:30, Paper MoAT1-04.4 Add to My Program
Locating Patterns in Nanopore Currents Using Time-Warped Signal Representation of Consensus Nucleotides for Demultiplexing and Motif Detection

Kang, Albert S WUniversity of Cambridge
Enright, Anton JamesUniversity of Cambridge
 
09:30-09:45, Paper MoAT1-04.5 Add to My Program
Enabling Context Aware Data Analysis for Long-Duration Repetitive Stooped Work through Human Activity Recognition in Sheep Shearing

Robinson, Mark CharlesThe University of Melbourne
Lu, LeiHarbin Institute of Technology
Tan, YingThe University of Melbourne
Goonewardena, KusalElite Akademy Sports Medicine
Oetomo, DennyThe University of Melbourne
Manzie, ChrisThe University of Melbourne
 
09:45-10:00, Paper MoAT1-04.6 Add to My Program
Exploration of the Physiological Response to an Online Gambling Task by Frequency Domain Analysis of the Electrodermal Activity

Rocco, GiuliaUniversité Côte D'Azur
Reali, PierluigiPolitecnico Di Milano
Lolatto, RiccardoPolitecnico Di Milano
Tacchino, GiuliaPolitecnico Di Milano
Mandolfo, MarcoPolitecnico Di Milano
Mazzola, AlessandraPolitecnico Di Milano
Bianchi, Anna MariaPolitecnico Di Milano
 
MoAT1-05  Oral Session Add to My Program 
Theme 01 - Deep Learning Methods for Electrophysiological Signals  
 
 
08:30-08:45, Paper MoAT1-05.1 Add to My Program
Automatic Identification of Brain Independent Components in Electroencephalography Data Collected While Standing in a Virtually Immersive Environment - a Deep Learning-Based Approach

Kaur, RachneetUniversity of Illinois at Urbana Champaign
Korolkov, MaximUIUC ECE
Hernandez, ManuelUniversity of Illinois
Sowers, RichardUniversity of Illinois at Urbana-Champaign
 
08:45-09:00, Paper MoAT1-05.2 Add to My Program
Deep Transfer Learning for Improving Single-EEG Arousal Detection

Olesen, Alexander NTechnical University of Denmark
Jennum, PoulUniversity of Copenhagen, Demnar
Mignot, EmmanuelStanford University
Sorensen, Helge B DTechnical University of Denmark
 
09:00-09:15, Paper MoAT1-05.3 Add to My Program
Deep Learning for Estimation of Functional Brain Maturation from EEG of Premature Neonates

Gschwandtner, LauraAIT Austrian Institute of Technology GmbH
Hartmann, ManfredAIT Austrian Institute of Technology GmbH
Oberdorfer, LisaDepartment of Pediatrics and Adolescent Medicine, Division of Ne
Fürbaß, FranzAIT Austrian Institute of Technology GmbH
Klebermaß-Schrehof, KatrinDepartment of Pediatrics and Adolescent Medicine, Division of Ne
Werther, TobiasDepartment of Pediatrics and Adolescent Medicine, Division of Ne
Stevenson, NathanQIMR Berghofer
Gritsch, GerhardAIT Austrian Institue of Technology GmbH
Perko, HannesAustrian Institute of Technology
Berger, AngelikaDepartment of Pediatrics and Adolescent Medicine, Division of Ne
Kluge, TilmannAustrian Institute of Technology
Giordano, VitoDepartment of Pediatrics and Adolescent Medicine, Division of Ne
 
09:15-09:30, Paper MoAT1-05.4 Add to My Program
Emotion Recognition with Refined Labels for Deep Learning

Zhang, SuNanyang Technological University
Guan, CuntaiNanyang Technological University
 
09:30-09:45, Paper MoAT1-05.5 Add to My Program
Machine Learning with Imbalanced EEG Datasets Using Outlier-Based Sampling

Islah, NizarUniversity of Toronto
Koerner, JamieUniversity of Toronto
Genov, RomanUniversity of Toronto
Valiante, Taufik A.University of Toronto
O Leary, GerardUniversity of Toronto
 
09:45-10:00, Paper MoAT1-05.6 Add to My Program
EEG-Based Emotion Recognition Using Spatial-Temporal Representation Via Bi-GRU

Lew, Wai Cheong LincolnNanyang Technological University; Institute for Infocomm Researc
WANG, DINanyang Technological University
Shylouskaya, KatsiarynaInstitute for Infocomm Research
Zhang, ZhuoA*STAR
Ang, Kai KengInstitute for Infocomm Research
Lim, Joo-HweeInstitute for Infocomm Research
Tan, Ah-HweeNanyang Technological University
 
MoAT1-06  Oral Session Add to My Program 
Theme 01 - Deep Learning Methods for Neuroimaging Signals  
 
 
08:30-08:45, Paper MoAT1-06.1 Add to My Program
Depression Scale Prediction with Cross-Sample Entropy and Deep Learning

Chen, Guan-YenNational Tsing Hua University
Huang, Chih-MaoNational Chiao Tung University
Liu, Ho-LingUniversity of Texas, MD Anderson Cancer Center
Lee, Shwu-HuaLinkou Chang Gung Memorial Hospital
Lee, Tatia Mei-ChunThe University of Hong Kong
Lin, CheminKeelung Chang Gung Memorial Hospital
Wu, Shun-ChiNational Tsing Hua University
 
08:45-09:00, Paper MoAT1-06.2 Add to My Program
Spatio-Temporal Deep Learning for EEG-fNIRS Brain Computer Interface

Ghonchi, HamidrezaShahrood University of Technology
Fateh, MansoorShahrood University of Technology
Abolghasemi, VahidUniversity of Essex
Ferdowsi, SaidehUniversity of Essex
Rezvani, MohsenShahrood University of Technology
 
09:00-09:15, Paper MoAT1-06.3 Add to My Program
EEG-Based Depression Detection Using Convolutional Neural Network with Demographic Attention Mechanism

Zhang, XiaoweiLanzhou University
Li, JunleiLanzhou University
Hou, KeChenLanzhou University
Hu, BinLanzhou University
Shen, JianLanzhou University
Pan, JingLanzhou University
Hu, BinLanzhou University
 
09:15-09:30, Paper MoAT1-06.4 Add to My Program
Generalized Prediction of Unconsciousness During Propofol Anesthesia Using 3D Convolutional Neural Networks

Patlatzoglou, KonstantinosUniversity of Kent
Chennu, SrivasUniversity of Kent
Gosseries, OliviaUniversity and University Hospital of Liege
Bonhomme, VincentCHU University Hospital of Liege
Wolff, AudreyUniversity and University Hospital of Liege
Laureys, StevenCyclotron Research Center, University of Liege in Belgium
 
09:30-09:45, Paper MoAT1-06.5 Add to My Program
Automatic Detection of Artifacts in EEG by Combining Deep Learning and Histogram Contour Processing

Bahador, NooshinUniversity of Oulu
Erikson, KristoUniversity of Oulu
Laurila, JoukoUniversity of Oulu and Oulu University Hospital
Koskenkari, JuhaUniversity of Oulu and Oulu University Hospital
Ala-Kokko, TeroUniversity of Helsinki and Helsinki University Hospital
Kortelainen, JukkaUniversity of Oulu
 
09:45-10:00, Paper MoAT1-06.6 Add to My Program
Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals

Avilov, OleksiiNational Technical University of Ukraine "Igor Sikorsky Kyiv Pol
Rimbert, SébastienUniversité De Lorraine, LORIA, INRIA
Popov, AntonNational Technical University of Ukraine “Kyiv Polytechnic Insti
Bougrain, LaurentUniversity of Lorraine
 
MoAT1-07  Oral Session Add to My Program 
Theme 01 - Deep Learning Methods in Biosignal Analysis I  
 
 
08:30-08:45, Paper MoAT1-07.1 Add to My Program
Predicting Age with Deep Neural Networks from Polysomnograms

Brink-Kjær, AndreasTechnical University of Denmark
Mignot, EmmanuelStanford University
Sorensen, Helge B DTechnical University of Denmark
Jennum, PoulUniversity of Copenhagen, Demnar
 
08:45-09:00, Paper MoAT1-07.2 Add to My Program
A Machine Learning Method for Automatic Detection and Classification of Patient-Ventilator Asynchrony

Bakkes, Tom Hendricus Gerardus FranciscusEindhoven University of Technology
Montree, RoelEindhoven University of Technology
Mischi, MassimoEindhoven University of Technology
Mojoli, FrancescoFondazione I.R.C.C.S. Policlinico San Matteo
Turco, SimonaEindhoven University of Technology
 
09:00-09:15, Paper MoAT1-07.3 Add to My Program
Automatic Detection of Respiratory Effort Related Arousals with Deep Neural Networks from Polysomnographic Recordings

Mahmud, MdshaadUniversity of New Hampshire
Wickramaratne, SajilaUniversity of New Hampshire
 
09:15-09:30, Paper MoAT1-07.4 Add to My Program
Emergency Clinical Procedure Detection with Deep Learning

Li, LingfengVanderbilt University
Paris, RichardVanderbilt University
Pinson, ConnerVanderbilt University
Wang, YanVanderbilt University
Coco, JosephVanderbilt University Medical Center
Heard, JamisonRochester Institute of Technology
Adams, Julie A.Oregon State University
Fabbri, DanielVanderbilt University Medical Center
Bodenheimer, BobbyVanderbilt University
 
09:30-09:45, Paper MoAT1-07.5 Add to My Program
Robust Deep Learning Framework for Predicting Respiratory Anomalies and Diseases

PHAM, LAMUniversity of Kent
McLoughlin, Ian VinceThe University of Science and Technology of China
Phan, HuyQueen Mary University of London
TRAN, MINHUniversity of Oxford
Nguyen, TrucGraz University of Technology
Ramaswamy, PalaniappanUniversity of Kent
 
09:45-10:00, Paper MoAT1-07.6 Add to My Program
Rheumatic Heart Disease Detection Using Deep Learning from Spectro-Temporal Representation of Heart Sounds

Asmare, Melkamu HunegnawKU Leuven
Woldehanna, FrehiwotAddis Ababa Institute of Technology
Janssens, LucKU Leuven
Vanrumste, BartKatholieke Universiteit Leuven
 
MoAT1-08  Oral Session Add to My Program 
Theme 01 - Deep Learning Methods in Biosignal Analysis II  
 
 
08:30-08:45, Paper MoAT1-08.1 Add to My Program
An Attention-Based Deep Learning Method for Schizophrenia Patients Classification Using DNA Methylation Data

Zhang, MinminShanghai Key Laboratory of Navigation and Location Based Service
Pan, ChangchunShanghai Key Laboratory of Navigation and Location Based Service
Liu, HaichunShanghai Key Laboratory of Navigation and Location Based Service
Zhang, QintingShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic
Li, HaozheShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic
 
08:45-09:00, Paper MoAT1-08.2 Add to My Program
Hybrid Encoder-Decoder Deep Networks for Decoding Neural Drive Information towards Precise Muscle Force Estimation

Tang, XiaoUniversity of Science and Technology of China
Chen, MaoqiUniversity of Science and Technology of China
Chen, XunUniversity of British Columbia
Chen, XiangUniversity of Science & Technology of China
Zhang, XuUniversity of Science and Technology of China
 
09:00-09:15, Paper MoAT1-08.3 Add to My Program
OPTIMAL SCREE-CNN for DETECTING NS1 MOLECULAR FINGERPRINT from SALIVARY SERS SPECTRA

Saifuzzaman, Aiman TariqUniversiti Teknologi MARA
LEE, YOOTUniversiti Teknologi MARA
Mohd Radzol, Afaf RozanUniversiti Teknologi MARA
Wong, Peng ShyanInfectious Disease Unit, Pulau Pinang General Hospital
Looi, IreneHead of Department, Consultant Neurologist, Hospital Seberang Ja
 
09:15-09:30, Paper MoAT1-08.4 Add to My Program
Attention Networks for Multi-Task Signal Analysis

Ahmedt-Aristizabal, DavidCSIRO
Armin, Mohammad AliCSIRO (Data61)
Denman, SimonQueensland University of Technology
Fookes, ClintonQueensland University of Technology
Petersson, LarsCSIRO Data61
 
09:30-09:45, Paper MoAT1-08.5 Add to My Program
Blood Pressure Prediction by a Smartphone Sensor Using Fully Convolutional Networks

Baek, SanghyunSeoul National University
Jang, JiyongSeoul National University
Cho, Sung-HwanSamsung
Choi, Jong MinSamsung Advanced Institute of Technology
Yoon, SungrohSeoul National University
 
09:45-10:00, Paper MoAT1-08.6 Add to My Program
Classify Motor Imagery by a Novel CNN with Data Augmentation

Huang, WeijianGuangzhou University
Wang, LiGuangzhou University
Yan, ZhenXiongGuangZhou University
Liu, YanjunGuangzhou University
 
MoAT1-09  Oral Session Add to My Program 
Theme 01 - Independent and Principal Component Analysis  
 
 
08:30-08:45, Paper MoAT1-09.1 Add to My Program
Potential Pitfalls of Widely Used Implementations of Common Spatial Patterns

Rybář, MilanUniversity of Essex
Daly, IanUniversity of Essex
Poli, RiccardoUniversity of Essex
 
08:45-09:00, Paper MoAT1-09.2 Add to My Program
Inter-Subject Correlations During Natural Viewing: A Filter-Bank Approach

Gait, ArslanNazarbayev University
Duisenbinov, VladimirNazarbayev University
Lee, Min-HoNazarbayev University
Bießmann, FelixBeuth University of Applied Sciences Berlin
Fazli, SiamacNazarbayev University
 
09:00-09:15, Paper MoAT1-09.3 Add to My Program
Stereo-Electroencephalography (SEEG) Reference Based on Low-Variance Signals

Uher, DanielInstitute of Scientific Instruments, the Czech Academy of Scienc
Klimes, PetrInstitute of Scientific Instruments of the ASCR, V.v.i
Cimbalnik, JanInternational Clinical Research Center, St. Annes University Hos
Roman, Robert-Central European Institute of Technology, Masaryk University, B
Martin, PailBrno Epilepsy Center, Department of Neurology, St Anne’s Univers
Brazdil, MilanMasaryk University Brno
Jurak, PavelInst of Scientific Instruments Academy
 
09:15-09:30, Paper MoAT1-09.4 Add to My Program
A Comprehensive Approach for Classification of the Cough Type

Nemati, EbrahimDigital Health Lab in Samsung Research America
Rahman, Md MahbuburSamsung Research America
Nathan, ViswamSamsung Research America Inc
Vatanparvar, KoroshSamsung Research America
Kuang, JilongSamsung Research America
 
09:30-09:45, Paper MoAT1-09.5 Add to My Program
Introducing a Deflationary Approach to Space-Time ICA That Uses Temporal Methods in Brain Signals Processing

Chiu, Hok Yin StephenUniversity of Warwick
James, ChristopherUniversity of Warwick
 
09:45-10:00, Paper MoAT1-09.6 Add to My Program
Eye-Blinking Artifacts Removal by ICA in Cross-Modal Long-Term EEG Recording

Huang, GanShenzhen University
Hu, ZhenxingShenzhen University
Zhang, LiShenzhen University
Li, LinlingShenzhen University
Liang, ZhenShenzhen University
Zhang, ZhiguoShenzhen University
 
MoAT1-10  Oral Session Add to My Program 
Theme 01 - Neural Networks and Support Vector Machines for Biosignal
Analysis
 
 
 
08:30-08:45, Paper MoAT1-10.1 Add to My Program
Neural Network-Based Classification of Static Lung Volume States Using Vibrational Cardiography

Clairmonte, NathanMcGill University
Skoric, JamesMcGill University
D'Mello, YannickMcGill University
Hakim, SiddiquiMcGill University
Aboulezz, EzzMcGill University
Lortie, MichelMacDonald, Dettwiler and Associates Corporation
Plant, DavidMcGill University
 
08:45-09:00, Paper MoAT1-10.2 Add to My Program
Robust Methods to Detect Spatial Abnormalities of the Gastric Slow Wave from Cutaneous Recordings

Coleman, ToddUCSD
Agrusa, AnjulieUCSD
Allegra, AlexisUCSD
Kunkel, DavidUCSD
 
09:00-09:15, Paper MoAT1-10.3 Add to My Program
High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network Regression

Tsai, Yu-ChiaoNational Chiao Tung University
Lai, Shih-HsuanNational Chiao Tung University
Ho, Ching-JuNational Chiao Tung University
Wu, Fang-MingNational Chiao Tung University
Henrickson, LindorNational Chiao Tung University
Wei, Chia-ChienNational Sun Yat-Sen University
Chen, IrwinWistron Corporation
Wu, VincentWistron Corporation
Chen, JyehongNational Chiao Tung University
 
09:15-09:30, Paper MoAT1-10.4 Add to My Program
Parkinson’s Disease Classification Using Pitch Synchronous Speech Segments and Fine Gaussian Kernels Based SVM

Appakaya, Sai BharadwajUniversity of South Florida
Sankar, RaviUniversity of South Florida
 
09:30-09:45, Paper MoAT1-10.5 Add to My Program
Impulse Classification Network for Video Head Impulse Test

Baydadaev, ShokhrukhINHA University
Usmankhujaev, SaidrasulINHA University
Kwon, Jang WooInha University
Kim, Kyu-SungAssociate Professor, Department of Otolaryngology-Head & Neck Su
 
09:45-10:00, Paper MoAT1-10.6 Add to My Program
Prediction of Freezing of Gait in Parkinson’s Disease from Foot Plantar-Pressure Arrays Using a Convolutional Neural Network

Shalin, GauravUniversity of Waterloo
Pardoel, ScottUniversity of Waterloo
Nantel, JulieUniversity of Ottawa
Lemaire, EdwardThe Ottawa Hospital Rehab Centre
Kofman, JonathanUniversity of Waterloo
 
MoAT1-11  Oral Session Add to My Program 
Theme 01 - Neural Networks and Support Vector Machines for
Electrophysiological Signals
 
 
 
08:30-08:45, Paper MoAT1-11.1 Add to My Program
EEG-Based Driving Fatigue Detection During Operating the Steering Wheel Data Section

Zou, BingBeijing University of Posts and Telecommunications
Shen, MuBeijing University of Posts and Telecommunications
Li, XinhangBeijing University of Posts and Telecommunications
Zheng, YuboBeijing University of Posts and Telecommunication
Zhang, LinBeijing University of Posts and Telecommunications
 
08:45-09:00, Paper MoAT1-11.2 Add to My Program
Tensor-Based EEG Network Formation and Feature Extraction for Cross-Session Driving Drowsiness Detection

Shen, MuBeijing University of Posts and Telecommunications
Zou, BingBeijing University of Posts and Telecommunications
Li, XinhangBeijing University of Posts and Telecommunications
Zheng, YuboBeijing University of Posts and Telecommunication
Zhang, LinBeijing University of Posts and Telecommunications
 
09:00-09:15, Paper MoAT1-11.3 Add to My Program
Classification of Mild Cognitive Impairment from Multi-Domain Features of Resting-State EEG

Li, YulingShanghai University
Xiao, ShashaShang Hai University
Li, YingJieShanghai University
Li, YunxiaTongji Hospital of Tongji University
yang, banghuaShanghai University
 
09:15-09:30, Paper MoAT1-11.4 Add to My Program
MaDeNet: Disentangling Individuality of EEG Signals through Feature Space Mapping and Detachment

Moon, Seong-EunYonsei University
Lee, Jong-SeokYonsei University
 
09:30-09:45, Paper MoAT1-11.5 Add to My Program
EEG-Based Neglect Detection for Stroke Patients

Kocanaogullari, DenizUniversity of Pittsburgh
Mak, JenniferUniversity of Pittsburgh
Kersey, JessicaUniversity of Pittsburgh
Khalaf, AyaUniversity of Pittsburgh
Ostadabbas, SarahNortheastern University
Wittenberg, GeorgeUniversity of Pittsburgh
Skidmore, ElizabethUniversity of Pittsburgh
Akcakaya, MuratUniversity of Pittsburgh
 
09:45-10:00, Paper MoAT1-11.6 Add to My Program
Sequential Attention-Based Detection of Semantic Incongrueties from EEG While Listening to Speech

Motomura, ShunnosukeNara Institute of Science and Technology
Tanaka, HirokiNara Institute of Science and Technology
Satoshi, NakamuraNara Institute of Science and Technology
 
MoAT1-12  Oral Session Add to My Program 
Theme 01 - Nonlinear Analysis of Biosignals  
 
 
08:30-08:45, Paper MoAT1-12.1 Add to My Program
Improving EEG-Based Error Detection Using Relative Peak Features

Ashley, AdrianUniversity of Sheffield
Arvaneh, MahnazUniversity of Sheffield
 
08:45-09:00, Paper MoAT1-12.2 Add to My Program
Reliability of Electroencephalogram-Based Individual Markers – Case Study

Uudeberg, TuuliTallinn University of Technology
Päeske, LauraDepartment of Health Technologies, School of Information Technol
Hinrikus, HiieTallinn University of Technology
Lass, JaanusTallinn University of Technology
Bachmann, MaieTallinn University of Technology
 
09:00-09:15, Paper MoAT1-12.3 Add to My Program
Sample Entropy Analysis of Pupillary Signals in Glaucoma Patients and Control Via Light-Induced Pupillometry

BHOWMIK, SUSMITRMIT UNIVERSITY
Motin, Mohammod AbdulPhD Student, University of Melbourne
Sarossy, MarcRMIT University
Radcliffe, PjRMIT University
Kant Kumar, DineshRMIT University
 
09:15-09:30, Paper MoAT1-12.4 Add to My Program
Dynamical Systems Modeling of Day-To-Day Signal-Based Patterns of Emotional Self-Regulation and Stress Spillover in Highly-Demanding Health Professions

Hadjiantonis, GeorgeTexas A&M University
Paromita, ProjnaTexas A&M University
Mundnich, KarelUniversity of Southern California
Nadarajan, AmruthaUniversity of Southern California
Booth, BrandonUniversity of Southern California
Narayanan, ShrikanthUniversity of Southern California
Chaspari, TheodoraTexas A&M University
 
MoAT1-13  Oral Session Add to My Program 
Theme 01 - Pattern Detection and Classification in ECG Signals-I  
 
 
08:30-08:45, Paper MoAT1-13.1 Add to My Program
Robust Classification of Cardiac Arrhythmia Using a Deep Neural Network

Mahmud, MdshaadUniversity of New Hampshire
Lennox, ConnorUniversity of New Hampshire
 
08:45-09:00, Paper MoAT1-13.2 Add to My Program
Arrhythmia Classification Using Deep Learning and Machine Learning with Features Extracted from Waveform-Based Signal Processing

Hsu, Po-YaUC San Diego
Cheng, Chung-KuanUniversity of California, San Diego
 
09:00-09:15, Paper MoAT1-13.3 Add to My Program
Feature Matching Based ECG Generative Network for Arrhythmia Event Augmentation

CAO, FANBiofourmis
Budhota, AamaniBiofourmis
Chen, HaoBiofourmis
Rajput, Kuldeep SinghBiofourmis
 
09:15-09:30, Paper MoAT1-13.4 Add to My Program
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification

Vijayarangan, SricharanHealthcare Technology and Innovation Center (HTIC-IITM)
Murugesan, BalamuraliIndian Institute of Technology Madras
R, VigneshHealthcare Technology Innovation Center, IIT Madras
Sreeletha Premkumar, PreejithHealthcare Technology Innovation Center (HTIC), IIT Madras
Joseph, JayarajHTIC, Indian Institute of Technology Madras
Sivaprakasam, MohanasankarIndian Institute of Technology Madras
 
09:30-09:45, Paper MoAT1-13.5 Add to My Program
Unsupervised Domain Adaptation for ECG Arrhythmia Classification

Chen, MingTsinghua University
Wang, GuijinTsinghua University
Ding, ZijianTsinghua University
Li, JiaweiTsinghua University
Yang, HuazhongTsinghua University
 
09:45-10:00, Paper MoAT1-13.6 Add to My Program
Arrhythmias Classification Using Short-Time Fourier Transform and GAN Based Data Augmentation

Lan, TianjieFudan University
Hu, QihanSchool of Information Science and Technology, Fudan University
Liu, XinFudan University
He, KaiyueFudan University
Yang, CuiweiFudan University
 
MoAT1-14  Oral Session Add to My Program 
Theme 01 - Pattern Detection and Classification in ECG Signals-II  
 
 
08:30-08:45, Paper MoAT1-14.1 Add to My Program
A Faster Approach to ECG Analysis in Emergency Situations

Di Gennaro, MarcoPolitecnico Di Milano
Fusco, LuigiPolitecnico Di Milano
Di Dio Lavore, IanPolitecnico Di Milano
D'Arnese, EleonoraPolitecnico Di Milano
Santambrogio, MarcoPolitecnico Di Milano
 
08:45-09:00, Paper MoAT1-14.2 Add to My Program
A Novel Approach for Atrial Fibrillation Signal Classification Based on Temporal Attention Mechanism

Gao, YiboUniversity of Electronic Science and Technology of China
Wang, HuanUniversity of Electronic Science and Technology of China, Chengd
Liu, ZuhaoUniversity of Electronic Science and Technology of China
 
09:00-09:15, Paper MoAT1-14.3 Add to My Program
Estimation of Heart Rate Directly from ECG Spectrogram in Neonate Intensive Care Units

Cabrera-Quiros, LauraEindhoven University of Technology
Varisco, GabrieleEindhoven University of Technology
Zhan, ZhuozhaoEindhoven University of Technology
Long, XiEindhoven University of Technology and Philips Research
Andriessen, PeterMaxima Medical Center
Cottaar, WardEindhoven University of Technology
van Pul, CarolaMaxima Medical Center
 
09:15-09:30, Paper MoAT1-14.4 Add to My Program
A New Spectrum Driven Index for the Assessment of ECG Signal Quality

Jarchi, DelaramUniversity of Essex
Prochazka, AlesUniversity of Chemistry and Technology
Sanei, SaeidUniversity of Surrey
 
09:30-09:45, Paper MoAT1-14.5 Add to My Program
MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression

Shamsi, MahdiRyerson University
Beheshti, SoosanRyerson University
Yousefi Rezaii, TohidRyerson University
 
09:45-10:00, Paper MoAT1-14.6 Add to My Program
A Graph-Constrained Changepoint Detection Approach for ECG Segmentation

Fotoohinasab, AtiyehNorthern Arizona University
Hocking, TobyNorthern Arizona University
Afghah, FatemehNorthern Arizona University
 
MoAT1-15  Oral Session Add to My Program 
Theme 01 - Pattern Detection and Classification in ECG Signals-III  
 
 
08:30-08:45, Paper MoAT1-15.1 Add to My Program
Detection of Premature Ventricular Complexes Using Semisupervised Autoencoders and Random Forests

Kalidas, VigneshThe University of Texas at Dallas
Tamil, LakshmanUniversity of Texas at Dallas
 
08:45-09:00, Paper MoAT1-15.2 Add to My Program
Adversarial Multi-Task Learning for Robust End-To-End ECG-Based Heartbeat Classification

Shahin, MostafaUniversity of New South Wales
Oo, EthanUniversity of New South Wales
Ahmed, BeenaUniversity of New South Wales
 
09:00-09:15, Paper MoAT1-15.3 Add to My Program
RPnet: A Deep Learning Approach for Robust R Peak Detection in Noisy ECG

Vijayarangan, SricharanHealthcare Technology and Innovation Center (HTIC-IITM)
R, VigneshHealthcare Technology Innovation Center, IIT Madras
Murugesan, BalamuraliIndian Institute of Technology Madras
Sreeletha Premkumar, PreejithHealthcare Technology Innovation Center (HTIC), IIT Madras
Joseph, JayarajHTIC, Indian Institute of Technology Madras
Sivaprakasam, MohanasankarIndian Institute of Technology Madras
 
09:15-09:30, Paper MoAT1-15.4 Add to My Program
Recognition of Premature Ventricular Contraction Beat from 12-Lead ECG Based on a Novel Detection Function of QRS Onset

He, KaiyueFudan University
Zhong, GaoyanFudan University
Ding, XiaomanFudan University
Yang, CuiweiFudan University
 
09:30-09:45, Paper MoAT1-15.5 Add to My Program
Deep Multi-Instance Networks for Bundle Branch Block Detection from Multi-Lead ECG

Hu, JingGuangzhou Shiyuan Electronic Technology Co., Ltd
Zhao, WeiGuangzhou Shiyuan Electronics Co., Ltd
Jia, DongyaGuangzhou Shiyuan Electronics Co., Ltd
Yan, CongGuangzhou Shiyuan Electronics Co., Ltd
Wang, HongmeiGuangzhou Shiyuan Electronics Co., Ltd
Li, ZhenqiGuangzhou Shiyuan Electrionics Co., Ltd
Fang, JianshengHarbin Institute of Technology
Yang, MingCVTE Research
 
09:45-10:00, Paper MoAT1-15.6 Add to My Program
Compressive Sampling Based Multi-Spectrum Deep Learning for Sub-Nyquist Pacemaker ECG Analysis

Chen, HaoBiofourmis
Wibowo, SandiBiofourmis
Rajput, Kuldeep SinghBiofourmis
 
MoAT1-16  Oral Session Add to My Program 
Theme 01 - Physiological Systems Modeling I  
 
 
08:30-08:45, Paper MoAT1-16.1 Add to My Program
Individualized Closed-Loop Anesthesia through Patient Model Partitioning

Wahlquist, YlvaLund University
van Heusden, KlaskeThe University of British Columbia
Dumont, GuyUniversity of British Columbia
Soltesz, KristianLund University
 
08:45-09:00, Paper MoAT1-16.2 Add to My Program
Realistic Mathematical Model of Retinal Outer Plexiform Layer for Edge Detection

Inagaki, KeiichiroChubu University
Imanaka, SeiyaChubu University
 
09:00-09:15, Paper MoAT1-16.3 Add to My Program
Efficiently Training Two-DoF Hand-Wrist EMG-Force Models

Bardizbanian, BerjWorcester Polytechnic Institute
Zhu, ZilingWorcester Polytechnic Institute
Li, JiananWorcester Polytechnic Institute
Huang, XinmingWorcester Polytechnic Institute
Dai, ChenyunFudan University
Martinez Luna, CarlosLiberating Technologies, Inc
McDonald, Benjamin E.Liberating Technologies, Inc
Farrell, TLiberating Technologies, Inc
Clancy, Edward A.Worcester Polytechnic Institute
 
09:15-09:30, Paper MoAT1-16.4 Add to My Program
Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation

Vijayarangan, SricharanHealthcare Technology and Innovation Center (HTIC-IITM)
Suresh, PrithviHealthcare Technology and Innovation Center (HTIC-IITM)
Sreeletha Premkumar, PreejithHealthcare Technology Innovation Center (HTIC), IIT Madras
Joseph, JayarajHTIC, Indian Institute of Technology Madras
Sivaprakasam, MohanasankarIndian Institute of Technology Madras
 
09:30-09:45, Paper MoAT1-16.5 Add to My Program
Self-Regulated and Co-Ordinated Smart Tumor Homing for Complex Vascular Networks

Ali, MuhammadUniversity of Waikato
Sharifi, NedaThe University of Waikato
McGrath, NicholasThe University of Waikato
Cree, MichaelUniversity of Waikato
Chen, YifanThe University of Waikato
 
09:45-10:00, Paper MoAT1-16.6 Add to My Program
Reducing Tachycardia in Septic Shock Patients: Do Esmolol and Ivabradine Have a Chronotropic Effect Only?

Carrara, MartaPolitecnico Di Milano, Italy
Niccolò, AriannaPolitecnico Di Milano
Herpain, AntoineUniversité Libre De Bruxelles
Ferrario, ManuelaPolitecnico Di Milano
 
MoAT1-17  Oral Session Add to My Program 
Theme 01 - Physiological Systems Modeling II  
 
 
08:30-08:45, Paper MoAT1-17.1 Add to My Program
Roles of the Cerebellar Interneurons on Cerebellar Motor Learning: A Computational Study

Takagi, RyunosukeChubu University
Matsuda, TaigaChubu University
Inagaki, KeiichiroChubu University
 
08:45-09:00, Paper MoAT1-17.2 Add to My Program
Effect of Stimulation Duration to the Existence of Initial Dip

Khan, M. N. AfzalPusan National University
Bhutta, M. RaheelDepartment of Computer Science and Engineering, Sejong Universit
Hong, Keum-ShikPusan National University
 
09:00-09:15, Paper MoAT1-17.3 Add to My Program
Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants

Hssayeni, MurtadhaFlorida Atlantic University
Wilcox, TeresaFlorida Atlantic University
Ghoraani, BehnazFlorida Atlantic University
 
09:15-09:30, Paper MoAT1-17.4 Add to My Program
Modeling BOLD-fMRI Hemodynamics Via Multidimensional Decomposition of Electrophysiology Data: A Simulation Study

Mann-Krzisnik, DylanMcGill University
Mitsis, Georgios D.McGill University
 
09:30-09:45, Paper MoAT1-17.5 Add to My Program
Pole-Zero REM Modeling with Application in EEG Artifact Removal

Nassif, FarahRyerson University
Yousefi Rezaii, TohidRyerson University
Beheshti, SoosanRyerson University
 
MoAT1-18  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification for Atrial Fibrillation  
 
 
08:30-08:45, Paper MoAT1-18.1 Add to My Program
Data Augmentation for Automatic Identification of Spatiotemporal Dispersion Electrograms in Atrial Fibrillation Ablation Using Machine Learning

Ghrissi, AminaUniversité Côte D'azur, CNRS, I3S
Almonfrey, DouglasFederal Institute of Esprito Santo
Costa de Almeida, RafaelFederal University of Esprito Santo
Squara, FabienUniversité Côte dAzur, CHU Pasteur, Cardiology Department, Nice,
Montagnat, JohanUniversité Côte D'azur, CNRS, I3S
Zarzoso, VicenteUniversité Nice Sophia Antipolis - CNRS
 
08:45-09:00, Paper MoAT1-18.2 Add to My Program
Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-Lead ECG: Pulmonary Vein Rotors vs. Other Locations

Luongo, GiorgioKarlsruhe Insitute of Technology
Azzolin, LucaKarlsruhe Institute of Technology
Rivolta, Massimo WalterUniversità Degli Studi Di Milano
Martínez, Juan PabloUniversity of Zaragoza
Doessel, OlafKarlsruhe Institute of Technology (KIT)
Sassi, RobertoUniversità Degli Studi Di Milano
Laguna, PabloZaragoza University and CIBER-BBN
Loewe, AxelKarlsruhe Institute of Technology (KIT)
 
09:00-09:15, Paper MoAT1-18.3 Add to My Program
Optimizing Multiscale Entropy Approach for Rotor Core Identification Using Simulated Intracardiac Electrograms

Ravikumar, VasanthUniversity of Minnesota
Tolkacheva, ElenaUniversity of Minnesota
 
09:15-09:30, Paper MoAT1-18.4 Add to My Program
A Weighted Graph Attention Network Based Method for Multi-Label Classification of Electrocardiogram Abnormalities

Wang, HongmeiGuangzhou Shiyuan Electronics Co., Ltd
Zhao, WeiGuangzhou Shiyuan Electronics Co., Ltd
Li, ZhenqiGuangzhou Shiyuan Electrionics Co., Ltd
Jia, DongyaGuangzhou Shiyuan Electronics Co., Ltd
Yan, CongGuangzhou Shiyuan Electronics Co., Ltd
Hu, JingGuangzhou Shiyuan Electronic Technology Co., Ltd
Fang, JianshengHarbin Institute of Technology
Yang, MingCVTE Research
 
09:30-09:45, Paper MoAT1-18.5 Add to My Program
Disentangled Adversarial Transfer Learning for Physiological Biosignals

Han, MoNortheastern University
Ozdenizci, OzanNortheastern University
Wang, YeMitsubishi Electric Research Laboratories (MERL)
Koike-Akino, ToshiakiMitsubishi Electric Research Laboratories (MERL)
Erdogmus, DenizNortheastern University
 
09:45-10:00, Paper MoAT1-18.6 Add to My Program
Unsupervised Classification of Atrial Fibrillation Triggers Using Heart Rate Variability Features Extracted from Implantable Cardiac Monitor Data

Saiz-Vivo, JavierPolitecnico Di Milano and Medtronic
Corino, ValentinaPolitecnico Di Milano
De Melis, MirkoUniversità Politecnica Delle Marche
Mainardi, LucaPolitecnico Di Milano
 
MoAT1-19  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification for Brain Computer
Interfaces
 
 
 
08:30-08:45, Paper MoAT1-19.1 Add to My Program
The Impact of Electrode Density and Precision on Brain-Computer Interfaces

Aarabi, PegahRoya AI
Aarabi, ParhamDepartment of Electrical and Computer Engineering, University Of
 
08:45-09:00, Paper MoAT1-19.2 Add to My Program
EEG Signal Classification Using Convolutional Neural Networks on Combined Spatial and Temporal Dimensions for BCI Systems

Anwar, Ayman M.Cairo University
Eldeib, Ayman M.Cairo University
 
09:00-09:15, Paper MoAT1-19.3 Add to My Program
Detecting EEG Outliers for BCI on the Riemannian Manifold Using Spectral Clustering

Yamamoto, Maria SayuTokyo University of Agriculture and Technology
Sadatnejad, KhadijehINRIA Bordeaux Sud-Ouest
Tanaka, ToshihisaTokyo University of Agriculture and Technology
Islam, Md. RabiulTokyo University of Agriculture and Technology
Tanaka, YuichiTokyo University of Agriculture and Technology
Lotte, FabienInria Bordeaux Sud-Ouest
 
09:15-09:30, Paper MoAT1-19.4 Add to My Program
Siamese Neural Networks for EEG-Based Brain-Computer Interfaces

Shahtalebi, SorooshConcordia University
Asif, AmirConcordia University
Mohammadi, ArashConcordia University
 
09:30-09:45, Paper MoAT1-19.5 Add to My Program
Subject-Independent Classification on Brain-Computer Interface Using Autonomous Deep Learning for Finger Movement Recognition

Anam, KhairulUniversity of Jember
Bukhori, SaifulFaculty of Computer Science, Universitas Jember
Hanggara, Faruq SandiIntelligent System and Robotics, CDAST, Universitas Jember
Pratama, MahardhikaNanyang Technological University
 
MoAT1-20  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification for Cardiovascular Signals  
 
 
08:30-08:45, Paper MoAT1-20.1 Add to My Program
Heartbeat Detection and Rate Estimation from Ballistocardiograms Using the Gated Recurrent Unit Network

Hai, DongXidian University
CHEN, CHAOIBM Research
YI, RUHANUniversity of Missouri-Columbia
Gou, ShuipingXidian University
Su, Bo-YuBrigham and Women Hospital
Jiao, ChangzheXidian University
Skubic, MarjorieUniversity of Missouri
 
08:45-09:00, Paper MoAT1-20.2 Add to My Program
Unobtrusive Inter-Beat Interval Estimation from Multichannel Ballistocardiogram Signal Using Kalman Filter

Huang, YongfengDonghua University
Sun, ChenxiDonghua University
Jin, TianchenDonghua University
Yang, ShuchenShanghai Yueyang Medtech Co., Ltd
Zhang, ZhimingShanghai Yueyang Medtech Co., Ltd
 
09:00-09:15, Paper MoAT1-20.3 Add to My Program
Enhancement of Synchronization between Physiological Signals During Exercise: A Preliminary Investigation

Perry, SeanUniversity of Warwick
Khovanova, NatashaUniversity of Warwick
Khovanov, IgorUniversity of Warwick
 
09:15-09:30, Paper MoAT1-20.4 Add to My Program
U-Net Neural Network for Heartbeat Detection in Ballistocardiography

Cathelain, GuillaumeEcole Pratique Des Hautes Etudes
Rivet, BertrandGrenoble Universities
Achard, SophieCNRS, GIPSA-Lab, Images and Signals Departement
Bergounioux, JeanAssistance Publique Des Hôpitaux De Paris
Jouen, FrançoisEcole Pratique Des Hautes Etudes
 
09:30-09:45, Paper MoAT1-20.5 Add to My Program
Method for Measurement of Arterial Compliance by Fusion of Oscillometry and Pulse Wave Velocity

Bogatu, LauraPhilips Research, Eindhoven University of Technology
Turco, SimonaEindhoven University of Technology
Mischi, MassimoEindhoven University of Technology
Woerlee, PierreTUe Eindhoven
Bouwman, R ArthurCatharina Hospital, Eindhoven
Korsten, ErikCatharina Hospital Eindhoven
Muehlsteff, JensPhilips
 
09:45-10:00, Paper MoAT1-20.6 Add to My Program
Localizing Placement of Cardiomechanical Sensors During Dynamic Periods Via Template Matching

Zia, JonathanGeorgia Institute of Technology
Kimball, JacobGeorgia Institute of Technology
Inan, OmerGeorgia Institute of Technology
 
MoAT1-21  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification for Contactless and
Wearable Systems
 
 
 
08:30-08:45, Paper MoAT1-21.1 Add to My Program
Contactless Heartbeat Detection from CW-Doppler Radar Using Windowed-Singular Spectrum Analysis

Iwata, YukiThe University of Electro-Communications
Ishibashi, KoichiroThe University of Electro-Communications
Sun, GuanghaoThe University of Electro-Communications
Luu, Manh HaAVITECH, University of Engineering and Technology, VNU Hanoi
Han Trong, ThanhHanoi University of Science and Technology
Linh-Trung, NguyenVietnam National University Hanoi
Do Trong, TuanHanoi University of Science and Technology
 
08:45-09:00, Paper MoAT1-21.2 Add to My Program
Detection of Respiratory Signal Based on Depth Camera Body Tracking

Yang, FanUniversity of Ottawa
Zixiong, HanUniversity of Ottawa
Bolic, MiodragUniversity of Ottawa
 
09:00-09:15, Paper MoAT1-21.3 Add to My Program
Body Orientation and Vital Sign Measurement with IR-UWB Radar Network

Yang, XiuzhuBeijing University of Posts and Telecommunications
Yu, YiboBeijing University of Posts and Telecommunications
Qian, HongyuBeijing University of Posts and Telecommunications
Zhang, XinyueBeijing University of Posts and Telecommunications
Zhang, LinBeijing University of Posts and Telecommunications
 
09:15-09:30, Paper MoAT1-21.4 Add to My Program
A Joint Localization Assisted Respiratory Rate Estimation Using IR-UWB Radars

He, ShanUniversity of Ottawa
Mehta, VarunUniversity of Ottawa
Bolic, MiodragUniversity of Ottawa
 
09:30-09:45, Paper MoAT1-21.5 Add to My Program
Using IMU Sensors to Assess Motor Degradation of PD Patients by Modeling In-Meal Plate-To-Mouth Movement Elongation

Kyritsis, KonstantinosAristotle University of Thessaloniki
Fagerberg, PetterKarolinska Institutet
Ioakimidis, IoannisKarolinska Institute, NVS, Division of Applied Neuroendocrinolog
Klingelhoefer, LisaDepartment of Neurology Technical University Dresden, Dresden, G
Reichmann, HeinzDepartment of Neurology Technical University Dresden, Dresden, G
Delopoulos, AnastasiosAristotle University of Thessaloniki
 
MoAT1-22  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification for Motor Imagery  
 
 
08:30-08:45, Paper MoAT1-22.1 Add to My Program
Neural Component Analysis: Source Localisation for Motor Imagery Classification

Daly, IanUniversity of Essex
Rybář, MilanUniversity of Essex
 
08:45-09:00, Paper MoAT1-22.2 Add to My Program
Online Recursive ICA Algorithm Used for Motor Imagery EEG Signal

Lin, XueyiKeio University
Wang, LuKeio University
Ohtsuki, TomoakiKeio University
 
09:00-09:15, Paper MoAT1-22.3 Add to My Program
Random Matrix Theory for Analysing the Brain Functional Network in Lower Limb Motor Imagery

Gu, LingyunSoutheast University
Yu, ZhenhuaXi'an University of Science and Technology
Ma, TianXi'an University of Science and Technology
Wang, HaixianSoutheast University
Li, ZhanliXi'an University of Science and Technology
Fan, HuiShandong Technology and Business University
 
09:15-09:30, Paper MoAT1-22.4 Add to My Program
MI3DNet: A Compact CNN for Motor Imagery EEG Classification with Visualizable Dense Layer Parameters

Yang, QihangXi'an Jiaotong University
ZHANG, XuanXian Jiaotong University
Chen, BadongXi'an Jiaotong University
 
09:30-09:45, Paper MoAT1-22.5 Add to My Program
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery

Zhang, CeVirginia Polytechnic Institute and State University
Eskandarian, AzimVirginia Tech
 
09:45-10:00, Paper MoAT1-22.6 Add to My Program
Bio-Inspired Algorithms for Optimal Feature Selection in Motor Imagery-Based Brain-Computer Interface

Idowu, Oluwagbenga PaulShenzhen Institutes of Advanced Technology, Chinese Academy of S
Fang, PengShenzhen Institutes of Advanced Technology, Chinese Academy of S
Li, GuanglinShenzhen Institutes of Advanced Technology
 
MoAT1-23  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification for Seizure Detection and
Prediction
 
 
 
08:30-08:45, Paper MoAT1-23.1 Add to My Program
A Comparison of Dynamic Modeling Approaches for Epileptic EEG Detection and Classification

Song, XiaomuWidener University
Aguilar, LuisWidener University
Yoon, Suk-ChungWidener University
 
08:45-09:00, Paper MoAT1-23.2 Add to My Program
Unsupervised Online Learning for Long-Term High Sensitivity Seizure Detection

Chua, AdelsonUniversity of California at Berkeley
Jordan, MichaelUniversity of California at Berkeley
Muller, RikkyUniversity of California at Berkeley
 
09:00-09:15, Paper MoAT1-23.3 Add to My Program
Automatic Absence Seizures Detection in EEG Signals: An Unsupervised Module

Tsiouris, KostasBiomedical Engineering Laboratory, School of Electrical and Comp
Konitsiotis, SpirosMedical School, University of Ioannina
Gatsios, DimitrisUniversity of Ioannina
Koutsouris, DimitriosBiomedical Engineering Laboratory, School of Electrical and Comp
Fotiadis, Dimitrios I.University of Ioannina
 
09:15-09:30, Paper MoAT1-23.4 Add to My Program
Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional Computing

Asgarinejad, FatemehUniversity of California, San Diego
Thomas, AnthonyUniversity of California San Diego
Rosing, TajanaUniversity of California San Diego
 
09:30-09:45, Paper MoAT1-23.5 Add to My Program
Tensor-Based Uncorrelated Multilinear Discriminant Analysis for Epileptic Seizure Prediction

Zhang, RenjieFudan University
Jiang, XinyuFudan University
Dai, ChenyunFudan University
Chen, WeiFudan University
 
09:45-10:00, Paper MoAT1-23.6 Add to My Program
Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural Networks

Sharan, Roneel V.Macquarie University
Berkovsky, ShlomoMacquarie University
 
MoAT1-24  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification for the Analysis of
Brain-Heart Interactions
 
 
 
08:30-08:45, Paper MoAT1-24.1 Add to My Program
Influence of Individual Heart Rate on Nonlinear Brain-Heart Interactions Estimated by Convergent Cross Mapping in Schizophrenic Patients and Healthy Controls

Schiecke, KarinJena University Hospital. Friedrich Schiller University Jena
Schumann, AndyPsychiatric Brain & Body Research Group Jena, Department of Psyc
Bär, Karl-JürgenFriedrich-Schiller-University of Jena
 
08:45-09:00, Paper MoAT1-24.2 Add to My Program
Methodological Considerations on EEG Electrical Reference: A Functional Brain-Heart Interplay Study

Candia-Rivera, DiegoUniversita Di Pisa
Catrambone, VincenzoUniversità Di Pisa
Valenza, GaetanoUniversity of Pisa
 
09:00-09:15, Paper MoAT1-24.3 Add to My Program
An Inhomogeneous Point-Process Model for the Assessment of the Brain-To-Heart Functional Interplay: A Pilot Study

Talebi, AlirezaUniversity of Pisa
Catrambone, VincenzoUniversità Di Pisa
Barbieri, RiccardoPolitecnico Di Milano
Valenza, GaetanoUniversity of Pisa
 
09:15-09:30, Paper MoAT1-24.4 Add to My Program
Quantifying Functional Links between Brain and Heartbeat Dynamics in the Multifractal Domain: A Preliminary Analysis

Catrambone, VincenzoUniversità Di Pisa
Wendt, HerwigCNRS, University of Toulouse
Barbieri, RiccardoPolitecnico Di Milano
Abry, PatriceENS Lyon, CNRS
Valenza, GaetanoUniversity of Pisa
 
09:30-09:45, Paper MoAT1-24.5 Add to My Program
Closed-Loop Electroencephalogram-Based Modulated Audio to Fall and Deepen Sleep Faster

Garcia-Molina, Gary NelsonPhilips Sleep and Respiratory Care
Kalyan, BoomikaPhilips North America
Aquino, AntonioPhilips
 
09:45-10:00, Paper MoAT1-24.6 Add to My Program
Neural Memory Networks for Seizure Type Classification

Ahmedt-Aristizabal, DavidCSIRO
Fernando, TharinduQueensland University of Technology
Denman, SimonQueensland University of Technology
Petersson, LarsCSIRO Data61
Aburn, Matthew JQIMR Berghofer
Fookes, ClintonQueensland University of Technology
 
MoAT1-25  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification for Wearable Systems  
 
 
08:30-08:45, Paper MoAT1-25.1 Add to My Program
Emotion Assessment Using Machine Learning and Low-Cost Wearable Devices

Laureanti, RitaPolitecnico Di Milano
Bilucaglia, MarcoBehavior and Brain Lab - Università IULM
Zito, MargheritaUniversità IULM
Circi, RiccardoBehavior and Brain Lab - Università IULM
Fici, AlessandroBehavior and Brain Lab - Università IULM
Rivetti, FiammaBehavior and Brain Lab - Università IULM
Valesi, RiccardoBehavior and Brain Lab - Università IULM
Oldrini, CarloIpsos
Mainardi, LucaPolitecnico Di Milano
Russo, VincenzoIULM University of Milan
 
08:45-09:00, Paper MoAT1-25.2 Add to My Program
Multi-Label Arrhythmia Classification from Fixed-Length Compressed ECG Segments in Real-Time Wearable ECG Monitoring

Cheng, YunfeiUniversity of Electronic Science and Technology of China
Ye, YalanUniversity of Electronic Science and Technology of China
Hou, MengshuUniversity of Electronic Science and Technology of China
He, WenwenUniversity of Electronic Science and Technology of China
Pan, TongjieUniversity of Electronic Science and Technology of China
 
09:00-09:15, Paper MoAT1-25.3 Add to My Program
Assessment of Athletes’ Attitude: Physiological Evaluation Via Wearable Sensors During Grappling Competitions

Borghini, GianlucaSapienza University of Rome
Arico, PietroFondazione Santa Lucia
Di Flumeri, GianlucaUniversity of Rome Sapienza
Sciaraffa, NicolinaUniversity of Rome Sapienza
ronca, vincenzoSapienza University of Rome
Vozzi, AlessiaSapienza University of Rome
Babiloni, FabioUniversity of Rome
 
09:15-09:30, Paper MoAT1-25.4 Add to My Program
Poincaré Descriptors for Identifying Hemiparesis in Acute Stroke Using Wearable Accelerometry

Datta, ShreyasiUniversity of Melbourne
Karmakar, ChandanDeakin University
Yan, BernardThe Royal Melbourne Hospital
Palaniswami, MarimuthuThe University of Melbourne
 
09:30-09:45, Paper MoAT1-25.5 Add to My Program
Denoising Wearable Armband ECG Data Using the Variable Frequency Complex Demodulation Technique

Hossain, Md BillalUniversity of Connecticut
Lázaro, JesúsUniversity of Zaragoza
Noh, Yeon SikUniversity of Massachusetts Amherst
Chon, KiUniversity of Connecticut
 
09:45-10:00, Paper MoAT1-25.6 Add to My Program
Electrocardiogram Derived Respiration for Tracking Changes in Tidal Volume from a Wearable Armband

Lázaro, JesúsUniversity of Zaragoza
Reljin, NatasaUniversity of Connecticut
Bailon, RaquelUniversity of Zaragoza
Gil, EduardoZaragoza University and CIBER-BBN
Noh, Yeon SikUniversity of Massachusetts Amherst
Laguna, PabloZaragoza University and CIBER-BBN
Chon, KiUniversity of Connecticut
 
MoAT1-26  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification in Fetal and Neonatal
Physiology
 
 
 
08:30-08:45, Paper MoAT1-26.1 Add to My Program
Automated Movement Detection Reveals Features of Maturation in Preterm Infants

Zuzarte, IanNortheastern University
Gee, AlanUniversity of Texas at Austin
Sternad, DagmarNortheastern University
Paydarfar, DavidThe University of Texas at Austin, Dell Medical School
 
08:45-09:00, Paper MoAT1-26.2 Add to My Program
Estimating Fetal Age by Fetal Maternal Heart Rate Coupling Parameters

Khandoker, Ahsan HKhalifa University of Science, Technology and Research
Wahbah, MaisamKhalifa University of Science and Technology
Al Sakaji, RaghadKhalifa University of Science and Technology
Funamoto, KiyoeTohoku University
Krishnan, AnitaChildren's National Medical Center
Kimura, YoshitakaTohoku University
 
09:00-09:15, Paper MoAT1-26.3 Add to My Program
Deep Convolutional Long Short-Term Memory Network for Fetal Heart Rate Extraction

fotiadou, eleniEindhoven University of Technology
Xu, MengzhuEindhoven University of Technology
van Erp, BartEindhoven University of Technology
van Sloun, RuudEindhoven University of Technology
Vullings, RikEindhoven University of Technology
 
09:15-09:30, Paper MoAT1-26.4 Add to My Program
A Point Process Framework for the Characterization of Fetal Sleep States

Pini, NicolòPolitecnico Di Milano
Lucchini, MaristellaColumbia University Irving Medical Center
Fifer, William P.Department of Psychiatry and Pediatrics, Columbia University Col
Barbieri, RiccardoPolitecnico Di Milano
 
09:30-09:45, Paper MoAT1-26.5 Add to My Program
Joint Multiple Subspace-Based BSS Method for Fetal Heart Rate Extraction from Non-Invasive Recordings

Wang, LuKeio University
Ohtsuki, TomoakiKeio University
Ohwada, KazunariAtom Medical Co Ltd
Honma, NaokiAtom Medical Co
Hayashi, HayatoAtom Medical Co
 
09:45-10:00, Paper MoAT1-26.6 Add to My Program
Entropy Profiling for Detection of Fetal Arrhythmias in Short Length Fetal Heart Rate Recordings

Keenan, EmersonThe University of Melbourne
Udhayakumar, RadhagayathriUniversity of Melbourne
Karmakar, ChandanDeakin University
Brownfoot, FionaThe University of Melbourne
Palaniswami, MarimuthuThe University of Melbourne
 
MoAT1-27  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification in Sleep Studies  
 
 
08:30-08:45, Paper MoAT1-27.1 Add to My Program
Automatic Sleep Stage Classification Using Marginal Hilbert Spectrum Features and a Convolutional Neural Network

Wang, WenshuaiUniversity of Chinese Academy of Sciences
Liao, PanBeijing Intelligent Brain Cloud Inc
Sun, YiUniversity of Chinese Academy of Sciences
Su, GuipingUniversity of Chinese Academy of Sciences
Ye, ShiweiUniversity of Chinese Academy of Sciences
Liu, YanUniversity of Chinese Academy of Sciences
 
08:45-09:00, Paper MoAT1-27.2 Add to My Program
Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings

Sun, SamanthaUniversity of Washington
Jiang, Preston LinxingUniversity of Washington
Peterson, Steven M.University of Washington
Herron, JeffreyUniversity of Washington
Weaver, KurtUniversity of Washington
Ko, AndrewUniversity of Washington
Ojemann, Jeffrey GUniversity of Washington
Rao, Rajesh PNUniversity of Washington
 
09:00-09:15, Paper MoAT1-27.3 Add to My Program
Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks

Vaquerizo-Villar, FernandoBiomedical Engineering Group, University of Valladolid, CIF Q471
Álvarez González, DanielRío Hortega University Hospital
Kheirandish-Gozal, LeilaSection of Sleep Medicine, Department of Pediatrics, Pritzker Sc
Gutierrez, Gonzalo CesarUniversity of Valladolid
Gomez-Pilar, JavierUniversity of Valladolid, CIF: Q4718001C
Crespo, AndreaHospital Universitario Rio Hortega, Valladolid
del Campo, FélixHospital Del Río Hortega. Universidad De Valladolid
Gozal, DavidSection of Sleep Medicine, Department of Pediatrics, Pritzker Sc
Hornero, RobertoUniversity of Valladolid
 
09:15-09:30, Paper MoAT1-27.4 Add to My Program
ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea

Sharan, Roneel V.Macquarie University
Berkovsky, ShlomoMacquarie University
Xiong, HaoMacquarie University
Coiera, EnricoMacquarie University
 
09:30-09:45, Paper MoAT1-27.5 Add to My Program
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring Based on Raw Single-Channel EEG

Supratak, AkaraMahidol University
Guo, YikeImperial College London
 
09:45-10:00, Paper MoAT1-27.6 Add to My Program
Predicting Sleep Classification Performance without Labels

Mikkelsen, KaareUniversity of Aarhus
Rezaei Tabar, YousefAarhus University
Kidmose, PrebenAarhus University, Denmark
 
MoAT1-28  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Electromyographic
Signals I
 
 
 
08:30-08:45, Paper MoAT1-28.1 Add to My Program
A Normalisation Approach Improves the Performance of Inter-Subject sEMG-Based Hand Gesture Recognition with a ConvNet

Lin, YuzhouThe University of Kent
Ramaswamy, PalaniappanUniversity of Kent
De Wilde, PhilippeThe University of Kent
Li, LingUniversity of Kent
 
08:45-09:00, Paper MoAT1-28.2 Add to My Program
Pose Estimation from Electromyographical Data Using Convolutional Neural Networks

Ayling, RobinUniversity of Kent
Johnson, ColinUniversity of Nottingham
Li, LingUniversity of Kent
Ramaswamy, PalaniappanUniversity of Kent
 
09:00-09:15, Paper MoAT1-28.3 Add to My Program
Recurrent Fusion of Time-Domain Descriptors Improves EMGbased Hand Movement Recognition

Ahmed, AhmedUniversity of Technology Sydney
Khushaba, Rami N.University of Technology, Sydney (UTS)
Al-Timemy, Ali HussianUniversity of Baghdad
Al-Jumaily, AdelUniversity of Technology Sydney
 
09:15-09:30, Paper MoAT1-28.4 Add to My Program
Classification of Facial Movements in Chronic Facial Palsy Based on Intramuscular EMG Signals Recorded from the Paretic Side

Leistritz, LutzJena University Hospital, Friedrich Schiller University Jena
Hochreiter, JakobMed-El Elektromedizinische Geräte Gesellschaft M.b.H
Bachl, FabianUniversity of Applied Sciences Upper Austria
Volk, Gerd FabianJena University Hospital
 
09:30-09:45, Paper MoAT1-28.5 Add to My Program
Genetic Algorithm Application to Feature Selection in sEMG Movement Recognition with Regularized Extreme Learning Machine

Tosin, Maurício CUFRGS
Bagesteiro, LeiaSFSU
Balbinot, AlexandreFederal University of Rio Grande Do Sul (UFRGS)
 
09:45-10:00, Paper MoAT1-28.6 Add to My Program
Trapezius or Facial Muscles: Which One Is More Suitable for the Measurement of Stress Using sEMG Signals?

fatima, mashalRiphah International University
Gulzar, KashafRiphah International University, Islamabad, Pakistan
Khan, Kainat RazaRiphah International University Islamabad, Pakistan
Amjad, FatimaRiphah International University, Islamabad
Shafique, MuhammadRiphah International University
 
MoAT1-29  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Electromyographic
Signals II
 
 
 
08:30-08:45, Paper MoAT1-29.1 Add to My Program
Analysis and Usage: Subject-To-Subject Linear Domain Adaptation in sEMG Classification

Hoshino, TakayukiKeio University
Kanoga, SuguruNational Institute of Advanced Industrial Science and Technology
Tsubaki, MasashiNational Institute of Advanced Industrial Science and Technology
Aoyama, AtsushiKeio University
 
08:45-09:00, Paper MoAT1-29.2 Add to My Program
Entropy and Clustering InformationApplied to sEMG Classification

Barbosa, LuizUniversity of Brasilia
Nogueira, OtávioUniversity of Brasilia
Silva, ViníciusUniversity of Brasilia
Cotta, Paulo Vitor PereiraUniversidade De Brasília, UnB
Souza, FernandoUniversidade De Brasília
Araújo, MichaelStefanini
López Delis, AlbertoCenter of Medical Biophysics
da Rocha, Adson F.University of Brasilia
Inazawa, PedroUniversity of Brasilia
 
09:00-09:15, Paper MoAT1-29.3 Add to My Program
Hand Gesture Recognition Using Surface Electromyography

Sharif, HajarUniversity of Illinois at Urbana-Champaign
Seo, Seung ByumUniversity of Illinois at Urbana-Champaign
Kesavadas, ThenkurussiUIUC/HCESC
 
09:15-09:30, Paper MoAT1-29.4 Add to My Program
On the Classification of Electromyography Signals to Control a Four Degree-Of-Freedom Prosthetic Device

Oleinikov, ArtemiyNazarbayev University
ABIBULLAEV, BERDAKHNazarbayev University
Folgheraiter, MicheleNazarbayev University
 
09:30-09:45, Paper MoAT1-29.5 Add to My Program
A Method to Differentiate Fatiguing Conditions in Surface Electromyography Signals Using Instantaneous Spectral Centroid

Sam Jeeva Raj, Edward JeroIndian Institute of Technology Madras
Krishnamani, Divya BharathiIndian Institute of Technology Madras
Ramakrishnan, SwaminathanIIT Madras, India
 
09:45-10:00, Paper MoAT1-29.6 Add to My Program
Neuromuscular Disease Detection Employing Deep Feature Extraction from Cross Spectrum Images of Electromyography Signals

Samanta, KaniskaTechno India University
Roy, Sayanjit SinghaTechno India University
Modak, SudipTechno India University
Chatterjee, SoumyaTechno India University
Bose, RohitNational University of Singapore
 
MoAT1-30  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Heart Rate Variability  
 
 
08:30-08:45, Paper MoAT1-30.1 Add to My Program
Unsupervised Clustering of HRV Features Reveals Preictal Changes in Human Epilepsy

Gagliano, LauraPolytechnique Montréal
Bou Assi, ElieUniversity of Montreal Hospital Center, University of Montreal
Toffa, Denahin HinnoutontondjiUniversity of Montreal Hospital Center, University of Montreal
Nguyen, Dang KhoaCHUM Hôpital Notre-Dame
Sawan, MohamadWestlake University
 
08:45-09:00, Paper MoAT1-30.2 Add to My Program
Time-Frequency Analysis of Cardiovascular Variability During an Orthostatic Stress by Complete EMD

Alvarado-Alvarez, Norma AngelicaUniversidad Autónoma Metropolitana
Charleston-Villalobos, SoniaUniversidad Autonoma Metropolitana
Reulecke, SinaUniversidad Autónoma Metropolitana
Dorantes Méndez, GuadalupeUniversidad Autónoma De San Luis Potosí
Voss, AndreasUniversity of Applied Sciences Jena
Gonzalez-Camarena, RamonUniversidad Autonoma Metropolitana
Aljama-Corrales, TomasUniversidad Autonoma Metropolitana
 
09:00-09:15, Paper MoAT1-30.3 Add to My Program
A Quality Metric for Heart Rate Variability from Photoplethysmogram Sensor Data

Zanon, MattiaRoche
Kriara, LitoRoche
Lipsmeier, FlorianRoche
Nobbs, DavidRoche
Chatham, ChristopherRoche
Hipp, JoergRoche
Lindemann, MichaelRoche
 
09:15-09:30, Paper MoAT1-30.4 Add to My Program
Sex Differences in Heart Rate Nonlinearity by Multifractal Multiscale Detrended Fluctuation Analysis

Castiglioni, PaoloIRCCS Fondazione Don Carlo Gnocchi
Lazzeroni, DavideFondazione Don Carlo Gnocchi, Parma, Italy
Coruzzi, PaoloDepartment of Clinical and Experimental Medicine, University Of
Faini, AndreaIstituto Auxologico Italiano
 
09:30-09:45, Paper MoAT1-30.5 Add to My Program
Investigating Circadian Heart Rate Variability in Coronary Artery Disease Patients with Various Degrees of Left Ventricle Ejection Fraction

Alkhodari, MohanadKhalifa University of Science and Technology
Jelinek, Herbert FranzKhalifa University
Werghi, NaoufelKhalifa University of Science, Technology & Research
Hadjileontiadis, LeontiosAristotle University of Thessaloniki
Khandoker, Ahsan HKhalifa University of Science, Technology and Research
 
09:45-10:00, Paper MoAT1-30.6 Add to My Program
Concurrent Model for Three Negative Emotions Using Heart Rate Variability in a Driving Simulator Environment

Muhammad, Shaufil AdhaKumamoto University
Igasaki, TomohikoKumamoto University
 
MoAT1-31  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of High-Density
Electromyographic Signals
 
 
 
08:30-08:45, Paper MoAT1-31.1 Add to My Program
Forearm High-Density Electromyography Data Visualization and Classification with Machine Learning for Hand Prosthesis Control

Tam, SimonLaval University
Boukadoum, MounirUniversity of Quebec at Montréal
Campeau-Lecours, AlexandreUniversite Laval
Gosselin, BenoitLaval University
 
08:45-09:00, Paper MoAT1-31.2 Add to My Program
High-Density Surface Electromyogram-Based Biometrics for Personal Identification

Jiang, XinyuFudan University
Xu, KeSchool of Information Science and Technology, Fudan University
Liu, XiangyuSchool of Art Design and Media, East China University of Science
Liu, DaFudan University
Dai, ChenyunFudan University
Chen, WeiFudan University
 
09:00-09:15, Paper MoAT1-31.3 Add to My Program
Analysis of Isometric Muscle Contractions Using Analytic Bump Continuous Wavelet Transform

Hari, Lakshmi MadathilIndian Institute of Technology Madras
Gopinathakaimal, VenugopalNSS College of Engineering, Palakkad
Ramakrishnan, SwaminathanIIT Madras, India
 
09:15-09:30, Paper MoAT1-31.4 Add to My Program
On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG

Urh, FilipUniversity of Maribor, Faculty of Electrical Engineering and Com
Strnad, DamjanUniversity of Maribor, Faculty of Electrical Engineering and Com
Clarke, AlexanderImperial College London
Farina, DarioImperial College London
Holobar, AlesUniversity of Maribor, Faculty of Electrical EngineeringandCompu
 
09:30-09:45, Paper MoAT1-31.5 Add to My Program
Subject-Specific EMG Modeling with Multiple Muscles: A Preliminary Study

Ma, ShihanShanghai Jiao Tong University
Chen, ChenShanghai Jiao Tong University
Han, DongHuashan Hospital, Fudan University
Sheng, XinjunShanghai Jiao Tong University
Farina, DarioImperial College London
Zhu, XiangyangShanghai Jiao Tong University
 
09:45-10:00, Paper MoAT1-31.6 Add to My Program
S-Convnet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface Emg Images

Islam, Md RabiulUniversité Du Québec à Trois-Rivières
Massicotte, DanielUniversité Du Québec à Trois-Rivières
Nougarou, FrançoisLaval University
Massicotte, PhilippeUniversité Du Québec à Trois-Rivières
Zhu, WeipingConcordia University
 
MoAT1-32  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Lung and Breathing
Sounds
 
 
 
08:30-08:45, Paper MoAT1-32.1 Add to My Program
Temporal Orders and Causal Vector for Physiological Data Analysis

Młyńczak, MarcelWarsaw University of Technology, Faculty of Mechatronics, Instit
 
08:45-09:00, Paper MoAT1-32.2 Add to My Program
Breathing Sound Segmentation and Detection Using Transfer Learning Techniques on an Attention-Based Encoder-Decoder Architecture

Hsiao, Chiu-HanAcademia Sinica
Lin, Ting-WeiNational Taiwan University
Lin, Chii-WannNational Taiwan University
Lin, Frank Yeong-SungNational Taiwan University
Hsu, Fu-ShunFar Eastern Memorial Hospital
Chen, Chung-WeiDepartment of Critical Care Medicine, Far Eastern Memorial Hospi
Chung, Chi-MingNational Taiwan University
 
09:00-09:15, Paper MoAT1-32.3 Add to My Program
Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks

Nguyen, TrucGraz University of Technology
Pernkopf, FranzGraz University of Technology
 
09:15-09:30, Paper MoAT1-32.4 Add to My Program
Removing of Snoring Segments from Tracheal Breathing Sounds Using a Wavelet-Based Algorithm

Ghahjaverestan, NasimUniversity Health Network
Saha, ShumitUniversity of Manitoba
Gavrilovic, BojanUniversity of Toronto/Toronto Rehabilitation Institute
Yadollahi, AzadehUniversity of Toronto
 
09:30-09:45, Paper MoAT1-32.5 Add to My Program
Investigating into Segmentation Methods for Diagnosis of Respiratory Diseases Using Adventitious Respiratory Sounds

Wu, LiqunUniversity of Kent
Li, LingUniversity of Kent
 
09:45-10:00, Paper MoAT1-32.6 Add to My Program
An Objective Measure of Signal Quality for Pediatric Lung Auscultations

Kala, AnnapurnaJohns Hopkins University
Husain, AmynaJohns Hopkins Medicine
McCollum, EricJohns Hopkins School of Medicine, Department of Pediatrics, Eudo
Elhilali, MounyaJohns Hopkins University
 
MoAT1-33  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Motion Signals for
Parkinson s Disease
 
 
 
08:30-08:45, Paper MoAT1-33.1 Add to My Program
Predicting Early Stage Drug Induced Parkinsonism Using Unsupervised and Supervised Machine Learning

Nair, ParvathyIITB-Monash Research Academy, IIT Bombay, Monash University
Trisno, RothMonash Alfred Psychiatry Research Centre
Shojaei Baghini, MaryamIndian Institute of Technology Bombay
Pendharkar, GitaMonash University
Chung, HoamMonash University
 
08:45-09:00, Paper MoAT1-33.2 Add to My Program
Time Series Clustering to Examine Presence of Decrement in Parkinson's Finger-Tapping Bradykinesia

Zhao, ZhibinXi'an Jiaotong Univerity
Fang, HuiLoughborough University
Williams, StefanUniversity of Leeds
Relton, SamuelUniversity of Leeds
Alty, JaneUniversity of Tasmania
Casson, Alexander JamesThe University of Manchester
Wong, DavidUniversity of Manchester
 
09:00-09:15, Paper MoAT1-33.3 Add to My Program
Unsupervised Pre-Trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns

Som, AnirudhArizona State University
Krishnamurthi, NarayananArizona State Unviersity
Buman, Matthew P.Arizona State University
Turaga, PavanArizona State University
 
09:15-09:30, Paper MoAT1-33.4 Add to My Program
Automatic Clinical Gait Test Detection from Inertial Sensor Data

Fischer, StefanFriedrich-Alexander-Universität Erlangen-Nürnberg
Ullrich, MartinFriedrich-Alexander-Universität Erlangen-Nürnberg
Küderle, ArneFriedrich-Alexander-Universität Erlangen-Nürnberg
Gaßner, HeikoUniversitätsklinikum Erlangen, Department of Molecular Neurology
Klucken, JochenUniversity Hospital Erlangen
Eskofier, Bjoern MFriedrich-Alexander-Universität Erlangen-Nürnberg
Kluge, FelixDigital Sports Group, Pattern Recognition Lab, Department of Com
 
09:30-09:45, Paper MoAT1-33.5 Add to My Program
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis

Nawar, AfraArizona State University
Rahman, FarhanArizona State University
Krishnamurthi, NarayananArizona State Unviersity
Som, AnirudhArizona State University
Turaga, PavanArizona State University
 
09:45-10:00, Paper MoAT1-33.6 Add to My Program
Automatic Gait Phases Detection in Parkinson Disease: A Comparative Study

Castaño-Pino, Yor JaggyUniversidad Icesi
Gonzalez, Maria CamilaFundación Valle Del Lili
Quintana-Peña, ValentinaUniversidad Icesi
Valderrama-Chaparro, JaimeFundacion Valle Del Lili
Munoz, BeatrizFundacion Clinica Valle Del Lili
Orozco, Jorge LuisFundacion Clinica Valle Del Lili
Navarro, AndresUniversidad Icesi
 
MoAT1-34  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Movement-Related Signals  
 
 
08:30-08:45, Paper MoAT1-34.1 Add to My Program
Deep-Learning-Based Human Motion Tracking for Rehabilitation Applications Using 3D Image Features

Chen, Kai-YuNational Yang Ming University
Zheng, Wei-ZhongNational Yang Ming University
Lin, Yu YiNational Yang-Ming University
Tang, Shih-TsangMing Chuan University
Chou, Li-WeiNational Yang-Ming University
Lai, Ying-HuiNational Yang-Ming University
 
08:45-09:00, Paper MoAT1-34.2 Add to My Program
Machine Learning Based Walking Aid Detection in Timed Up-And-Go Test Recordings of Elderly Patients

Ziegl, AndreasAIT Austrian Institute of Technology GmbH
Hayn, DieterAIT Austrian Institute of Technology
Kastner, PeterAIT Austrian Institute of Technology
Loeffler, KerstinGeriatric Health Care Centers Graz, Graz, Austria
Weidinger, LisaAlbert Schweitzer Institute of Geriatric and Gerontology, Geriat
Brix, BiancaMedical University of Graz
Goswami, NanduMedical University of Graz
Schreier, GuenterAIT Austrian Institute of Technology GmbH
 
09:00-09:15, Paper MoAT1-34.3 Add to My Program
Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data

Hu, YangUniversity of Illinois at Urbana-Champaign
Bishnoi, AlkaUniversity of Illinois at Urbana-Champaign
Kaur, RachneetUniversity of Illinois at Urbana Champaign
Sowers, RichardUniversity of Illinois at Urbana-Champaign
Hernandez, ManuelUniversity of Illinois
 
09:15-09:30, Paper MoAT1-34.4 Add to My Program
A Sensor-Based Comprehensive Objective Assessment of Motor Symptoms in Cerebellar Ataxia

Kashyap, BipashaDeakin University
Phan, DungDeakin University
Pathirana, Pubudu NDeakin University
Horne, MalcolmFlorey Institute of Neuroscience and Mental Health
Power, LauraRoyal Victorian Eye and Ear Hospital
Szmulewicz, DavidVictorian Eye and Ear Hospital
 
09:30-09:45, Paper MoAT1-34.5 Add to My Program
Quantitative Assessement of Friedreich Ataxia through the Self-Drinking Activity

KRISHNA, RAGILDeakin University
Pathirana, Pubudu NDeakin University
Corben, Louise AnneMurdoch Children's Research Institute
Horne, MalcolmFlorey Institute of Neuroscience and Mental Health
Delatycki, MartinMurdoch Children's Research Institute
Szmulewicz, DavidVictorian Eye and Ear Hospital
 
MoAT1-35  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Multivariate and
Multimodal Biosignals I
 
 
 
08:30-08:45, Paper MoAT1-35.1 Add to My Program
Detecting Loss and Regain of Consciousness During Propofol Anesthesia Using Multimodal Indices of Autonomic State

Subramanian, SandyaMassachusetts Institute of Technology
Barbieri, RiccardoPolitecnico Di Milano
Purdon, Patrick LMassachussetts General Hospital
Brown, Emery NMGH-Harvard Medical School-MIT
 
08:45-09:00, Paper MoAT1-35.2 Add to My Program
Impedance Plethysmography As an Alternative Measure of Reactive Hyperemia

Samarawickrama, KasunUniversity of Moratuwa
Perera, NipunUniversity of Moratuwa
Jayasinghe, SarojDepartment of Clinical Medicine, University of Colombo
De Silva, AnjulaUniversity of Moratuwa
 
09:00-09:15, Paper MoAT1-35.3 Add to My Program
Audio, Visual, and Electrodermal Arousal Signals As Predictors of Mental Fatigue Following Sustained Cognitive Work

Williamson, JamesMIT Lincoln Laboratory
Heaton, KristinUnited States Army Research Institute of Environmental Medicine
Lammert, AdamMIT Lincoln Laboratory
Finkestein, KatherineSeton Hall University
Sturim, DouglasMIT Lincoln Laboratory
Smalt, ChristopherPurdue University
Ciccarelli, GregoryMassachusetts Institute of Technology
Quatieri, ThomasMIT Lincoln Laboratory
 
09:15-09:30, Paper MoAT1-35.4 Add to My Program
Detection of Slow Wave Propagation Direction Using Bipolar High-Resolution Recordings

Han, HenryThe University of Auckland
Cheng, Leo KThe University of Auckland
Avci, RecepThe University of Auckland
Paskaranandavadivel, NiranchanThe University OfAuckland
 
09:30-09:45, Paper MoAT1-35.5 Add to My Program
Exploring EEG Microstates for Affective Computing: Decoding Valence and Arousal Experiences During Video Watching

Shen, XinkeTsinghua University
Hu, XinDepartment of Psychology, Tsinghua University
Liu, ShizhaoTsinghua University
Song, SenTsinghua University
Zhang, DanTsinghua University
 
09:45-10:00, Paper MoAT1-35.6 Add to My Program
Freezing of Gait Detection in Parkinson’s Disease Via Multimodal Analysis of EEG and Accelerometer Signals

Wang, YingRadboud University
Beuving, FlorisRadboud University
Nonnekes, JorikRadboud University Medical Centre; Donders Institute for Brain,
X Cohen, MikeRadboud University
Long, XiEindhoven University of Technology and Philips Research
Aarts, Ronald M.Philips
van Wezel, RichardUniversity of Twente
 
MoAT1-36  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Multivariate and
Multimodal Biosignals II
 
 
 
08:30-08:45, Paper MoAT1-36.1 Add to My Program
Stress Assessment by Combining Neurophysiological Signals and Radio Communications of Air Traffic Controllers

Borghini, GianlucaSapienza University of Rome
Bandini, AndreaUniversity Health Network
Orlandi, SilviaHolland Bloorview Kids Rehabilitation Hospital
Di Flumeri, GianlucaUniversity of Rome Sapienza
Arico, PietroFondazione Santa Lucia
Sciaraffa, NicolinaUniversity of Rome Sapienza
ronca, vincenzoSapienza University of Rome
Bonelli, StefanoDeep Blue
Ragosta, MartinaDeep Blue Srl
Tommasello, PaolaDeep Blue Srl
Turhan, UğurUniversity of Anadolu
Açikel, BirsenUniversity of Anadolu
Ozan, AliUniversity of Anadolu
imbert, jean-paulEnac
Granger, geraudEnac
Benhacene, railaneEnac
Drogoul, FabriceEUROCONTROL
Babiloni, FabioUniversity of Rome
 
08:45-09:00, Paper MoAT1-36.2 Add to My Program
Learning-Based Model for Central Blood Pressure Estimation Using Feature Extracted from ECG and PPG Signals

Singla, MuskanInternational Institute of Information and Technology, Hyderabad
Syed, AzeemuddinInternational Institute of Information and Technology, Hyderabad
Sistla, PrasadCare Foundation
 
09:00-09:15, Paper MoAT1-36.3 Add to My Program
Multimodal Data Acquisition for the Assessment of Cerebellar Ataxia Via Ballistic Tracking

Tran, HaDeakin University
Nguyen, Khoa D.Deakin University
Pathirana, Pubudu NDeakin University
Horne, MalcolmFlorey Institute of Neuroscience and Mental Health
Power, LauraRoyal Victorian Eye and Ear Hospital
Szmulewicz, DavidVictorian Eye and Ear Hospital
 
09:15-09:30, Paper MoAT1-36.4 Add to My Program
A Review of Photoplethysmography-Based Physiological Measurement and Estimation, Part 2: Multi-Input Methods

Johnson, Mizpah Selvam SUniversity of Ontario Institute of Technology
Eklund, J. MikaelUniversity of Ontario Institute of Technology
 
09:30-09:45, Paper MoAT1-36.5 Add to My Program
Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game

Ishaque, SyemMr
Rueda, AliceRyerson University
Krishnan, SridharRyerson University
Khan, NaimulRyerson University
 
09:45-10:00, Paper MoAT1-36.6 Add to My Program
Predicting Core Characteristics of ASD through Facial Emotion Recognition and Eye Tracking in Youth

Jiang, MingUniversity of Minnesota
Francis, SundayUniversity of Minnesota
Tseng, AngelaUniversity of Minnesota
Srishyla, DikshaUniversity of Minnesota
DuBois, MeganUniversity of Minnesota
Beard, KatieUniversity of Minnesota
Conelea, ChristineUniversity of Minnesota
Zhao, QiUniversity of Minnesota
Jacob, SumaUniversity of Minnesota
 
MoAT1-37  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Neural Signals  
 
 
08:30-08:45, Paper MoAT1-37.1 Add to My Program
Detection of Information Flow between Cortical Laminae Activities and Auditory Evoked Potentials in Rats by Means of Granger Causality

Schäfer, ZeinabAarhus University
Haab, LarsSaarland University Hospital
Strauss, Daniel J.Saarland University, Medical Faculty
Takahashi, KazutakaUniversity of Chicago
Schwerdtfeger, KarstenSaarland University Hospital
 
08:45-09:00, Paper MoAT1-37.2 Add to My Program
Research on the Characteristics of Action Potentials and Local Field Potentials in Cortex of Parkinson's Disease Mode Monkey

xu, shengweiInstitute of Electronics, Chinese Academy of Science
Zhang, YuChinese Academy of Sciences, Institutes of Electronics
Xiao, GuihuaUniversity of Chinese Academy of Sciences
Duan, YiMingUniversity of Chinese Academy of Sciences
Wang, MixiaInstitute of Electronics, Chinese Academy of Sciences
Song, YilinState Key Laboratory of Transducer Technology, Institute of Elec
Dai, YuchuanInstitute of Electronics, Chinese Academy of Sciences
Liu, juntaoInstitute of Electronics, Chinese Academy of Sciences
luo, jinpingInstitute of Electronics, Chinese Academy of Sciences
Zhang, SongInstitute of Electronics, Chinese Academy of Sciences
Zhuang, PingDepartment of Neurobiology, Xuanwu Hospital, Capital Medical Uni
Chan, PiuXuanwu Hospital, Capital Medical University
Yue, FengXuanwu Hospital, Capital Medical University
Cai, XinxiaInstitute of Electronics, Chinese Academy of Sciences
 
09:00-09:15, Paper MoAT1-37.3 Add to My Program
Predicting Single-Unit Activity from Local Field Potentials with LSTMs

Savolainen, OscarImperial College London
Constandinou, TimothyImperial College of Science, Technology and Medicine
 
09:15-09:30, Paper MoAT1-37.4 Add to My Program
SepaConvNet for Localizing the Subthalamic Nucleus Using One Second Micro-Electrode Recordings

Peralta, MaximeUniversity of Rennes 1
BUI, Quoc AnhUniversity of Rennes 1
Ackaouy, AntoineUniversity of Rennes 1
Martin, ThibaultUniversity of Rennes 1
Gilmore, GreydonUniversity of Western Ontario
Haegelen, ClaireUniversity of Rennes 1
Sauleau, PaulUniversity of Rennes 1
Baxter, JohnUniv Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099
Jannin, PierreINSERM, Université De Rennes 1
 
09:30-09:45, Paper MoAT1-37.5 Add to My Program
Spike Detection Technique Based on Spike Augmentation with Low Computational and Hardware Complexity

mirzaei, sepidehK. N. Toosi University of Technology
Hosseini-Nejad, HosseinK. N. Toosi University of Technology
Sodagar, Amir M.York University
 
09:45-10:00, Paper MoAT1-37.6 Add to My Program
Spatial Redundancy Reduction in Multi-Channel Implantable Neural Recording Microsystems

Khazaei, YousefK. N. Toosi University of Technology
Ali, Abbasi ShahkoohYork University
Sodagar, Amir M.York University
 
MoAT1-38  Oral Session Add to My Program 
Theme 01 - Signal Processing and Classification of Photoplethysmographic
Signals
 
 
 
08:30-08:45, Paper MoAT1-38.1 Add to My Program
Photoplethysmographic Subject Identification by Considering Feature Values Derived from Heartbeat and Respiration

Hinatsu, ShunMitsubishi Electric Corporation
Suzuki, DaisukeMitsubishi Electric
Ishizuka, HirokiOsaka University
Ikeda, SeiOsaka University
Oshiro, OsamuOsaka University
 
08:45-09:00, Paper MoAT1-38.2 Add to My Program
Atrial Fibrillation Detection Using Photoplethysmographic Signal: The Effect of the Observation Window

Corino, ValentinaPolitecnico Di Milano
salibra, federicoPolitecnico Di Milano
Mainardi, LucaPolitecnico Di Milano
 
09:00-09:15, Paper MoAT1-38.3 Add to My Program
Machine Learning Approaches for Improved Continuous, Non-Occlusive Arterial Pressure Monitoring Using Photoplethysmography

Jorge, JoãoSwiss Center for Electronics and Microtechnology (CSEM)
Proenca, MartinCSEM SA
Aguet, ClémentineSwiss Center for Electronics and Microtechnology (CSEM)
Van Zaen, JérômeSwiss Center for Electronics and Microtechnology (CSEM), Neuchât
Bonnier, GuillaumeCSEM SA
Renevey, PhilippeCSEM
Lemkaddem, AliaCSEM
Schoettker, PatrickCHUV – Centre Hospitalier Universitaire Vaudois
Lemay, MathieuCSEM
 
09:15-09:30, Paper MoAT1-38.4 Add to My Program
Optimal Filter Characterization for Photoplethysmography-Based Pulse Rate and Pulse Power Spectrum Estimation

Cassani, RaymundoInstitut National De La Recherche Scientifique
Tiwari, AbhishekInstitut National De La Recherche Scientifique
Falk, TiagoInstitut National De La Recherche Scientifique
 
09:30-09:45, Paper MoAT1-38.5 Add to My Program
Parameter Estimation of Hemodynamic Cardiovascular Model for Synthesis of Photoplethysmogram Signal

Roy, DibyenduTCS Research
Mazumder, OisheeTata Consultance Services
Chakravarty, KingshukTata Consultancy Services Ltd
Sinha, AniruddhaTata Consultancy Services Ltd
Ghose, AvikTCS Research & Innovation
Pal, ArpanTata Consultancy Services
 
09:45-10:00, Paper MoAT1-38.6 Add to My Program
A Review of Photoplethysmography-Based Physiological Measurement and Estimation, Part 1: Single Input Methods

Johnson, Mizpah Selvam SUniversity of Ontario Institute of Technology
Eklund, J. MikaelUniversity of Ontario Institute of Technology
 
MoAT1-39  Oral Session Add to My Program 
Theme 01 - Signal Processing for Biosignal Artefact Detection and Removal  
 
 
08:30-08:45, Paper MoAT1-39.1 Add to My Program
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding

Lalanne, ClementCentre Borelli, CNRS, ENS Paris Saclay, Université De Paris, SSA
Rateaux, Maxenceôpital Necker-Enfants Malades, AP-HP, and Centre Borelli, CNRS,
Oudre, LaurentL2TI, Université Paris 13
Robert, MatthieuHôpital Necker-Enfants Malades, AP-HP, and Centre Borelli, CNRS,
Moreau, ThomasInria
 
08:45-09:00, Paper MoAT1-39.2 Add to My Program
EEG Artifact Removal by Bayesian Deep Learning & ICA

Lee, Sangmin S.Company
Lee, KiwonYbrain Research Institute
Kang, GuiyeomUniversity College Dublin
 
09:00-09:15, Paper MoAT1-39.3 Add to My Program
Post-Processing Algorithm for Removing Soft-Tissue Movement Artifacts from Vibroarthrographic Knee-Joint Signal

GONG, RUITokyo Metropolitan University
Hase, KazunoriTokyo Metropolitan University
GOTO, HIROAKILivet Inc
Yoshioka, KeisukeLivet Inc
 
09:15-09:30, Paper MoAT1-39.4 Add to My Program
Simulating Motion Artifact Using an Autoregressive Model for Research in Biomedical Signal Quality Analysis

Farago, EmmaCarleton University
Chan, AdrianCarleton University
 
09:30-09:45, Paper MoAT1-39.5 Add to My Program
Artifact Removal in tACS-EEG Recordings: A Combined Methodology Based on the Empirical Wavelet Transform

Yan, XuantengMcGill University
Boudrias, Marie-HeleneMcGill University
Mitsis, Georgios D.McGill University
 
09:45-10:00, Paper MoAT1-39.6 Add to My Program
Task-Related Systemic Artifacts in Functional Near-Infrared Spectroscopy

Cheong, DanielUniversity of Oklahoma
Zhang, FanUniversity of Oklahoma
Kim, KaitlynUniversity of Oklahoma
Reid, AdairaUniversity of Oklahoma
Hanan, CameronUniversity of Oklahoma
Ding, LeiUniversity of Oklahoma
Yuan, HanUniversity of Oklahoma
 
MoAT1-40  Oral Session Add to My Program 
Theme 01 - Speech Signal Processing and Classification for Hearing-Aid
Systems
 
 
 
08:30-08:45, Paper MoAT1-40.1 Add to My Program
Real-Time Dual-Channel Speech Enhancement by VAD Assisted MVDR Beamformer for Hearing Aid Applications Using Smartphone

Shankar, NikhilUniversity of Texas at Dallas
Shreedhar Bhat, GautamUniversity of Texas at Dallas
Panahi, IssaUniversity of Texas at Dallas
 
08:45-09:00, Paper MoAT1-40.2 Add to My Program
Automated Machine Learning Based Speech Classification for Hearing Aid Applications and Its Real-Time Implementation on Smartphone

Shreedhar Bhat, GautamUniversity of Texas at Dallas
Shankar, NikhilUniversity of Texas at Dallas
Panahi, IssaUniversity of Texas at Dallas
 
09:00-09:15, Paper MoAT1-40.3 Add to My Program
Analyzing Stimulus-Frequency Otoacoustic Emission Fine Structure Using an Additive Model

Liu, YinTsinghua University
Ji, FeiChinese PLA General Hospital
Gong, QinTsinghua University
 
09:15-09:30, Paper MoAT1-40.4 Add to My Program
Screening and Analysis of Specific Language Impairment in Young Children by Analyzing the Textures of Speech Signal

sharma, garimaRyerson University
Prasad, DeepakNIT Sikkim
Umapathy, KarthikeyanRyerson University
Krishnan, SridharRyerson University
 
09:30-09:45, Paper MoAT1-40.5 Add to My Program
Compression Fitting of Hearing Aids and Implementation

Patel, KashyapThe University of Texas at Dallas
Panahi, IssaUniversity of Texas at Dallas
 
09:45-10:00, Paper MoAT1-40.6 Add to My Program
Efficient Real-Time Acoustic Feedback Cancellation Using Adaptive Noise Injection Algorithm

Patel, KashyapThe University of Texas at Dallas
Panahi, IssaUniversity of Texas at Dallas
 
MoAT1-41  Oral Session Add to My Program 
Theme 01 - Time-Frequency Analysis of Biosignals  
 
 
08:30-08:45, Paper MoAT1-41.1 Add to My Program
Relationship between Vowel Sound Features and Pharyngeal Airway Cross-Sectional Area During Normal Breathing

Saha, ShumitUniversity of Toronto
Viswanathan, KeerthanaToronto Rehabilitation Institute
Ghahjaverestan, NasimUniversity Health Network
Yadollahi, AzadehUniversity of Toronto
 
08:45-09:00, Paper MoAT1-41.2 Add to My Program
Instantaneous Respiratory Response of Gamer with High-Risk Internet Gaming Disorder During Game-Film Stimuli by Using Complementary Ensemble Empirical Mode Decomposition

Ji, Hong-MingNational Chiao Tung University
Hsiao, Tzu-ChienNational Chiao Tung University
 
09:00-09:15, Paper MoAT1-41.3 Add to My Program
Signal Feature Analysis of Contact Force at the Tip of a Flexible Ureteroscope

Deng, YinanBeijing Jiaotong University
Yang, TangwenBeijing Jiaotong University
 
09:15-09:30, Paper MoAT1-41.4 Add to My Program
Acoustoelectric Signal Decoding Based on Fourier Approximation

Su, MengyueTianjin University
Song, XiziTianjin University
Zhou, YijieTianjin University
Yang, JiajiaTianjin University
Ke, YufengTianjin University
Ming, DongTianjin University
 
09:30-09:45, Paper MoAT1-41.5 Add to My Program
Validation of Auscultation Technologies Using Objective and Clinical Comparisons

Graceffo, StephanieJohns Hopkins University
Husain, AmynaJohns Hopkins Medicine
Ahmed, SalahuddinProjahnmo Research Foundation
McCollum, EricJohns Hopkins School of Medicine, Department of Pediatrics, Eudo
Elhilali, MounyaJohns Hopkins University
 
09:45-10:00, Paper MoAT1-41.6 Add to My Program
Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks

Sharan, Roneel V.Macquarie University
Berkovsky, ShlomoMacquarie University
Liu, SidongMacquarie University
 
MoAT1-42  Oral Session Add to My Program 
Theme 01 - Time-Frequency Analysis of Electrophysiological Signals Ι  
 
 
08:30-08:45, Paper MoAT1-42.1 Add to My Program
Different sEMG and EEG Features Analysis for Gait Phase Recognition

Wei, PengnaXi'an Jiaotong University
Zhang, JinhuaXi’an Jiaotong University
Wei, PingpingXi'an Jiaotong University
Wang, BaozengXi'an Jiaotong University
Hong, JunXi’an Jiaotong University
 
08:45-09:00, Paper MoAT1-42.2 Add to My Program
Muscle Activity Detection During Sleep by Ear-EEG

Rezaei Tabar, YousefAarhus University
Mikkelsen, KaareUniversity of Aarhus
Rank, Mike LindWidex A/S
Hemmsen, Martin ChristianT&W Engineering
Kidmose, PrebenAarhus University, Denmark
 
09:00-09:15, Paper MoAT1-42.3 Add to My Program
Wavelet Spectral Deep-Training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep

Abbasi, HamidUniversity of Auckland
Gunn, Alistair JanUniversity of Auckland
Bennet, LauraThe University of Auckland
Unsworth, Charles PeterUniversity of Auckland
 
09:15-09:30, Paper MoAT1-42.4 Add to My Program
Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG

Abbasi, HamidUniversity of Auckland
Gunn, Alistair JanUniversity of Auckland
Bennet, LauraThe University of Auckland
Unsworth, Charles PeterUniversity of Auckland
 
09:30-09:45, Paper MoAT1-42.5 Add to My Program
A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG Datasets

Marturano, FrancescaUniversity of Padova
Brigadoi, SabrinaUniversity of Padova
Doro, MattiaDepartment of Developmental Psychology, University of Padova
Dell'Acqua, RobertoUniversity of Padova
Sparacino, GiovanniUniversity of Padova
 
09:45-10:00, Paper MoAT1-42.6 Add to My Program
Detection of Transient Bursts in EEG of Preterm Infants Using Time--Frequency Distributions and Machine Learning

Murphy, Brian MichaelUniversity College Cork
Goulding, Robert MNeurogen Ltd
O'Toole, John M.University College Cork
 
MoAT1-43  Oral Session Add to My Program 
Theme 01 - Time-Frequency Analysis of Electrophysiological Signals ΙI  
 
 
08:30-08:45, Paper MoAT1-43.1 Add to My Program
Trait Empathy Modulates Brain Response to Empathy for Social Rejection: Evidence from Electrophysiology

Tao, DanSoutheast University
Leng, YueSoutheast University
Ge, ShengSoutheast University
Deng, HuihuaSoutheast University
 
08:45-09:00, Paper MoAT1-43.2 Add to My Program
Deep Convolutional Neural Networks for the Accurate Identification of High-Amplitude Stereotypic Epileptiform Seizures in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep

Abbasi, HamidUniversity of Auckland
Gunn, Alistair JanUniversity of Auckland
Unsworth, Charles PeterUniversity of Auckland
Bennet, LauraThe University of Auckland
 
09:00-09:15, Paper MoAT1-43.3 Add to My Program
High Frequency Activity in the Orbital Frontal Cortex Modulates with Mismatched Expectations During Gambling in Humans

Gunaratnam, SejalUniversity of Michigan
Talluri, DinakarUniversity of Michigan
Greene, PatrickJohns Hopkins University
Sacré, PierreUniversity of Liège
Gonzalez-Martinez, JorgeCleveland Clinic
Sarma, Sridevi V.Johns Hopkins University
 
09:15-09:30, Paper MoAT1-43.4 Add to My Program
Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm Sheep

Abbasi, HamidUniversity of Auckland
Gunn, Alistair JanUniversity of Auckland
Unsworth, Charles PeterUniversity of Auckland
Bennet, LauraThe University of Auckland
 
09:30-09:45, Paper MoAT1-43.5 Add to My Program
Emotion Evaluation During Working on a Puzzle by Spatiotemporal Pattern of Band Power of Electroencephalogram

Igasaki, TomohikoKumamoto University
Hiramatsu, ShoKumamoto University
Yanagihara, DaikiKumamoto University
Baba, YutaKumamoto University
 
09:45-10:00, Paper MoAT1-43.6 Add to My Program
Personalized Sleep Spindle Detection in Whole Night Polysomnography

Scafa, StefanoPolitecnico Di Torino
Fiorillo, LuigiUniversity of Bern
Lucchini, MartaInstitute for Information Systems and Networking, University Of
Roth, CorinneDepartment of Neurology (Sleep Wake-Epilepsy Centre), Universit
Agostini, ValentinaPolitecnico Di Torino
Vancheri, AlbertoUniversity of Applied Sciences and Arts of Southern Switzerland
Faraci, Francesca1973
 
MoAT2  Oral Session
Theme 2. Biomedical Imaging and Image Processing  
 
 
08:30-10:00, Subsession MoAT2-01,
Theme 02 - Brain Image Analysis   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-02,
Theme 02 - Brain Imaging and Image Analysis I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-03,
Theme 02 - Brain Imaging and Image Analysis II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-04,
Theme 02 - Breast Cancer - Mammography and Histopathology   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-05,
Theme 02 - Cancer Image Analysis-Machine Learning Approach   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-06,
Theme 02 - Cardiac Image Analysis I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-07,
Theme 02 - Cardiac Image Analysis II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-08,
Theme 02 - Chest X-Ray   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-09,
Theme 02 - CT and X-Ray Image Analysis I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-10,
Theme 02 - CT and X-Ray Image Analysis II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-11,
Theme 02 - CT Imaging and Applications I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-12,
Theme 02 - CT Imaging and Applications II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-13,
Theme 02 - Deformable Registration   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-14,
Theme 02 - Digital Pathology I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-15,
Theme 02 - Digital Pathology II   Oral Session, 5 papers
 
08:30-10:00, Subsession MoAT2-16,
Theme 02 - Digital Pathology III   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-17,
Theme 02 - Electrical Impedance Imaging   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-18,
Theme 02 - Emerging MRI Technology   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-19,
Theme 02 - Functional Brain Imaging   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-20,
Theme 02 - Image Analysis-Deep Learning   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-21,
Theme 02 - Image Classification   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-22,
Theme 02 - Image Reconstruction and Enhancement   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-23,
Theme 02 - Image Reconstruction and Enhancement Image Synthesis and Performance Evaluation   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-24,
Theme 02 - Image Segmentation I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-25,
Theme 02 - Image Segmentation II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-26,
Theme 02 - MRI Image Analysis   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-27,
Theme 02 - MRI-Diffusion Imaging   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-28,
Theme 02 - MRI-fMRI and Connectivity   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-29,
Theme 02 - MRI-Neuroimaging   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-30,
Theme 02 - Novel Image Analysis Method   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-31,
Theme 02 - Novel Imaging Modalities   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-32,
Theme 02 - Optical Image Analysis   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-33,
Theme 02 - Optical Imaging   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-34,
Theme 02 - Optical Imaging - Coherence Tomography   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-35,
Theme 02 - Optical Imaging - Microscopy   Oral Session, 6 papers
 
08:30-09:45, Subsession MoAT2-36,
Theme 02 - Photoacustic Imaging   Oral Session, 5 papers
 
08:30-10:00, Subsession MoAT2-37,
Theme 02 - Photographic Biomedical Imaging   Oral Session, 6 papers
 
08:30-09:30, Subsession MoAT2-38,
Theme 02 - Retinal and Cochlear Image Analysis   Oral Session, 4 papers
 
08:30-10:00, Subsession MoAT2-39,
Theme 02 - Retinal Image Analysis   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-40,
Theme 02 - Ultrasound Image Analysis I   Oral Session, 6 papers
 
08:30-09:45, Subsession MoAT2-41,
Theme 02 - Ultrasound Image Analysis II   Oral Session, 5 papers
 
08:30-10:00, Subsession MoAT2-42,
Theme 02 - Ultrasound Imaging - Breast   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-43,
Theme 02 - Ultrasound Imaging - Elastography   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-44,
Theme 02 - Ultrasound Imaging - Other Organs I   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-45,
Theme 02 - Ultrasound Imaging - Other Organs II   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-46,
Theme 02 - Video-Based Biomedical Imaging   Oral Session, 6 papers
 
08:30-10:00, Subsession MoAT2-47,
Theme 02 - X-Ray Imaging and Applications   Oral Session, 6 papers
 
MoAT2-01  Oral Session Add to My Program 
Theme 02 - Brain Image Analysis  
 
 
08:30-08:45, Paper MoAT2-01.1 Add to My Program
A Novel Approach to Segment Cortical Neurons in Histological Images of the Near-Term Fetal Sheep Brain Model

Bhattacharya, SaheliUniversity of Auckland
Bennet, LauraThe University of Auckland
Davidson, JoanneUniversity of Auckland
Unsworth, Charles PeterUniversity of Auckland
 
08:45-09:00, Paper MoAT2-01.2 Add to My Program
A Two Cascaded Network Integrating Regional–based YOLO and 3D-CNN for Cerebral Microbleeds Detection

Al-masni, MohammedCollege of Engineering, Yonsei University
Kim, Woo-RamGachon University
KIM, Eung YeopGachon University Gil Medical Center
Noh, YoungGachon University Gil Medical Center
Kim, Dong-HyunYonsei University
 
09:00-09:15, Paper MoAT2-01.3 Add to My Program
Minimizing Hybrid Dice Loss for Highly Imbalanced 3D Neuroimage Segmentation

LU, YUHAONanyang Technological Univerisity, Singapore
Zhou, Juan HelenNational University of Singapore
Guan, CuntaiNanyang Technological University
 
09:15-09:30, Paper MoAT2-01.4 Add to My Program
A Cascaded Deep-Learning Framework for Segmentation of Metastatic Brain Tumors before and after Stereotactic Radiation Therapy

Jalalifar, AliYork University
Soliman, HanyUniversity of Toronto, Sunnybrook Health Sciences Centre
Sahgal, ArjunSunnybrook Health Sciences Centre, University of Toronto
Sadeghi-Naini, AliYork University
 
09:30-09:45, Paper MoAT2-01.5 Add to My Program
A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector Machine

Jalalifar, AliYork University
Soliman, HanyUniversity of Toronto, Sunnybrook Health Sciences Centre
Ruschin, MarkSunnybrook Health Sciences Centre, University of Toronto
Sahgal, ArjunSunnybrook Health Sciences Centre, University of Toronto
Sadeghi-Naini, AliYork University
 
09:45-10:00, Paper MoAT2-01.6 Add to My Program
A Novel Graph Attention Network Architecture for Modeling Multimodal Brain Connectivity

Filip, Alexandru CatalinUniversity of Cambrdige
Azevedo, TiagoComputer Science and Technology Department
Passamonti, LucaUniversity of Cambridge
Toschi, NicolaUniversity of Rome "Tor Vergata", Faculty of Medicine
Liò, PietroUniversity of Cambridge
 
MoAT2-02  Oral Session Add to My Program 
Theme 02 - Brain Imaging and Image Analysis I  
 
 
08:30-08:45, Paper MoAT2-02.1 Add to My Program
BoostCaps: A Boosted Capsule Network for Brain Tumor Classification

Afshar, ParnianConcordia University
Plataniotis, KonstantinosUniversity of Toronto
Mohammadi, ArashConcordia University
 
08:45-09:00, Paper MoAT2-02.2 Add to My Program
Automatic Whole Brain Vascular Territory Mapping

Matsubara, RyotaCanon Medical Systems Corporation
Parsons, MarkUniversity of Melbourne
Bivard, AndrewUniversity of Melbourne
Sakashita, NaotakaCanon Medical Systems Corporation
 
09:00-09:15, Paper MoAT2-02.3 Add to My Program
Different Glucose Metabolic Brain Networks between Subjective Cognitive Decline and Health Control Based on Graph Theory

Dong, QiuyueShanghai University
Han, YingXuanWu Hospital of Capital Medical University
jiang, jiehuiShanghai University
 
09:15-09:30, Paper MoAT2-02.4 Add to My Program
Drosophila Brain Functional Data Analysis: A Unified Framework

Chang, WeiNational Tsing Hua University
Hsiao, Ching-ChunNational Tsing Hua University
Lin, Yen-YinNational Tsing Hua University
Chu, Li-AnNational Tsing Hua University
Swindlehurst, A. LeeUniversity of California, Irvine
Chu, Shi-WeiNational Taiwan University
Chiang, AnnShynNational Tsing Hua University
Wu, Shun-ChiNational Tsing Hua University
 
09:30-09:45, Paper MoAT2-02.5 Add to My Program
Stability-Based Sparse Paradigm Free Mapping Algorithm for Deconvolution of Functional MRI Data

Uruñuela, EnekoBasque Center on Cognition, Brain and Language
Jones, StephenImaging Institute, Cleveland Clinic
Crawford, AnnaImaging Institute, Cleveland Clinic
Shin, WanyongImaging Institute, Cleveland Clinic
Oh, SehongImaging Institute, Cleveland Clinic
Lowe, MarkImaging Institute, Cleveland Clinic
Caballero Gaudes, CesarBasque Center on Cognition, Brain and Language
 
09:45-10:00, Paper MoAT2-02.6 Add to My Program
Exploring the Relevance between Brain Glucose Metabolism and Functional Connectivity in Chinese Cognitive Dysfunctions’subjects Using Integrated Resting-State PET/MRI Images

Ding, ChangchangShanghai University
Han, YingXuanWu Hospital of Capital Medical University
jiang, jiehuiShanghai University
 
MoAT2-03  Oral Session Add to My Program 
Theme 02 - Brain Imaging and Image Analysis II  
 
 
08:30-08:45, Paper MoAT2-03.1 Add to My Program
Early Detection of Amyloid β Pathology in Alzheimer's Disease by Molecular MRI

Dong, Celia M.The University of Hong Kong
Guo, Audrey S.The University of Hong Kong
To, AntheaThe University of Hong Kong
Chan, Kannie W.Y.City University of Hong Kong
Chow, Aviva S.F.The University of Hong Kong
Bian, LimingChinese University of Hong Kong
Leong, Alex T. L.The University of Hong Kong
Wu, Ed X.The University of Hong Kong