Title :
Correlation dimensions of EEG changes during mental tasks
Author :
Yang, Hao ; Wang, Yonghong ; Wang, Chia-Jiu ; Tai, Heng-Ming
Author_Institution :
Key Lab. of High Voltage Eng. & Electr. New Technol., Chongqing Univ., China
Abstract :
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.
Keywords :
bioelectric phenomena; cognition; correlation methods; electroencephalography; medical signal processing; EEG changes; brain electrical activity; cognitive processes; correlation dimensions; cortical networks; electroencephalogram signals; mental tasks; nonlinear analysis; point correlation dimension; resting states; Analog-digital conversion; Biomedical engineering; Educational technology; Electrodes; Electroencephalography; Eyes; Laboratories; Scalp; Statistical analysis; Voltage; Electroencephalogram; correlation dimension; nonlinear dynamics; statistical analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403233
