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

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

616

Lastpage

619

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.2004.1403233

Filename

1403233