Cross Mutual Information Analysis of EEG Signals for Cognitive Task Discrimination

被引：0

作者：

Peralta, Joaquin ^{[1
]}

Flores, Christian ^{[2
]}

机构：

[1] Univ Tecnol Peru UTP, Dept Elect Engn, Lima, Peru

[2] Univ Ingn & Tenol UTEC, Dept Elect Engn, Barranco, Peru

来源：

PROCEEDINGS OF THE 7TH BRAZILIAN TECHNOLOGY SYMPOSIUM (BTSYM 21): EMERGING TRENDS IN HUMAN SMART AND SUSTAINABLE FUTURE OF CITIES, VOL 1 | 2023年 / 207卷

关键词：

Mutual information; Cross-mutual information; EEG; Functional connectivity; Cognitive tasks; FUNCTIONAL CONNECTIVITY; BRAIN;

D O I：

10.1007/978-3-031-04435-9_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This study aims to assess Functional Connectivity (FC) using the Cross Mutual Information (CMI) approach between differents brain areas while several patients perform five cognitive tasks. Thus, we used six electrodes of electroencephalograms (EEG) located in different brain areas. A hypothesis Wilcoxon signed-rank test was applied to evaluate the statistical differences for all combinations between cognitive task, electrode pairs, and brain bands which add up to 225 combinations. The results reported statistical difference (p < 0.05) for all 225 combinations. Therefore, the proposed approach reported the use of CMI as a feasible tool for analyzing Functional Connectivity (FC) using EEG brain signals for cognitive tasks besides discriminating them.

引用

页码：133 / 142

页数：10

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