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

共 50 条

[1] Cognitive task discrimination using approximate entropy (ApEn) on EEG signals
Flores Vega, Christian H.
Noel, Julien
Fernandez, Javier Ramirez
2013 ISSNIP BIOSIGNALS AND BIOROBOTICS CONFERENCE (BRC), 2013, : 201 - 204
[2] Analysis of EEG Signals by Emprical Mode Decomposition and Mutual Information
Mert, Ahmet
Akan, Aydin
2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2013,
[3] Mutual Information of Multiple Rhythms for EEG Signals
Jose Ibanez-Molina, Antonio
Felipa Soriano, Maria
Iglesias-Parro, Sergio
FRONTIERS IN NEUROSCIENCE, 2020, 14
[4] Mutual information entropy research on dementia EEG signals
Qi, HZ
Wan, BK
Zhao, L
FOURTH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, PROCEEDINGS, 2004, : 885 - 889
[5] Characterization of Spatial Cognitive EEG Signals Using Normalized Adjusted Permutation Conditional Mutual Information
Wan, Xianglong
Sun, Yue
Wu, Zhenzhen
Wen, Dong
SYMMETRY-BASEL, 2025, 17 (01):
[6] Reorganization of functional connectivity during the motor task using EEG time-frequency cross mutual information analysis
Lu, Chia-Feng
Teng, Shin
Hung, Chih-I
Tseng, Po-Jung
Lin, Liang-Ta
Lee, Po-Lei
Wu, Yu-Te
CLINICAL NEUROPHYSIOLOGY, 2011, 122 (08) : 1569 - 1579
[7] Automatic Seizure Detection Based on Nonlinear Dynamical Analysis of EEG Signals and Mutual Information
Akbarian, Behnaz
Erfanian, Abbas
BASIC AND CLINICAL NEUROSCIENCE, 2018, 9 (04) : 167 - 180
[8] Mutual information measures applied to EEG signals for sleepiness characterization
Melia, Umberto
Guaita, Marc
Vallverdu, Montserrat
Embid, Cristina
Vilaseca, Isabel
Salamero, Mane
Santamaria, Joan
MEDICAL ENGINEERING & PHYSICS, 2015, 37 (03) : 297 - 308
[9] Analysis of complex cognitive task and pattern recognition using distributed patterns of EEG signals with cognitive functions
Zhao, Jianyu
Li, Ke
Xi, Xi
Wang, Shanshan
Saravanan, Vijayalakshmi
Samuel, R. Dinesh Jackson
NEURAL COMPUTING & APPLICATIONS, 2020, 37 (10): : 7451 - 7451
[10] Mutual information analysis on MCI-AD EEG signal during resting and task conditions
John, Nimmy
Subha, D. P.
Menon, Ramshekhar N.
PROCEEDINGS OF THE 2019 IEEE REGION 10 CONFERENCE (TENCON 2019): TECHNOLOGY, KNOWLEDGE, AND SOCIETY, 2019, : 2295 - 2299

← 1 2 3 4 5 →