August 31 - September 4, 2010, Buenos Aires Sheraton Hotel, Buenos Aires, Argentina

EMBC'10 Paper Abstract


Paper FrBPo05.2

Costa, Ernane Jose Xavier (University of São Paulo), Tech, Adriano Rogerio Bruno (University of São Paulo), Céspedes Arce, Aldo Ivan (USP), Sousa Silva, Ana Carolina (Universidade de São Paulo)

Quantifying Electrode Position Effects in EEG Data with Lempel-Ziv Complexity

Scheduled for presentation during the Poster Session "EEG II" (FrBPo05), Friday, September 3, 2010, 10:45−12:15, Catalinas/Golden Horn

32nd Annual International IEEE EMBS Conference, August 31 - September 4, 2010, Buenos Aires Sheraton Hotel, Buenos Aires, Argentina

This information is tentative and subject to change. Compiled on July 5, 2020

Keywords Nonstationary Processing of Biomedical Signals, Time-Scale and Wavelets, Nonlinear Analysis of Biomedical Signals


Complexity measurement using Lempel and Ziv algorithm (LZ) has been used to analyze physiological data. This work shows that the Lempel and Ziv complexity measurement of EEG signals using wavelets transforms is independent of electrode position and dependent on cognitive tasks and brain activity. EEG database with 122 subjects from the public EEG dataset was used in this study. This database have spontaneous EEG and evoked potential (EP) data from a 64-multielectrode array under a variety of conditions collected at several centers in the United States, sponsored by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) project. Two experiments were performed with this database. The first experiment was to test the dependency of electrode positions into LZ complexity measures and the second experiment was to analyze if the LZ complexity was sensitive to the EEG acquired from control and alcoholic subjects. The results show that the complexity measurement is dependent on the changes of the pattern of brain dynamics and not dependent on electrode position.



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