Correlation dimensions of EEG changes during mental tasks.
Nonlinear analysis of electroencephalogram (EEG) signals provides a means for studying the dynamical changes in cortical networks related to brain electrical activity. In this study, the correlation dimension (D2) and point correlation dimension (PD2) were used to investigate the quantitative complexity of EEG during cognitive processes. EEGs were recorded in 30 normal subjects under seven conditions: two resting states and five mental activities. Results show that D2 and PD2 are significantly correlated. Compared to D2, PD2 is more sensitive to EEG data and less computationally intensive.
Yang
Hao
H
Key Lab. of High Voltage Eng. & Electr. New Technol., Chongqing Univ. Ministry of Education, China.
Wang
Yonghong
Y
Wang
Chia-Jiu
CJ
Tai
Heng-Ming
HM