Title :
Nonlinear analysis of EEG signals
Author :
Fang, Liang ; Yang, Hao ; He, Wei ; 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 possible means for studying the dynamical changes in cortical networks related to mental activity. In this study, the correlation dimension (D2) was employed to investigate the quantitative complexity of EEG signals. In addition, fast GP (Grassberger-Procaccia) algorithms for the computation of the correlation dimension are described. EEGs were recorded in 20 normal subjects under four conditions: (1) passive eyes closed, (2) mental arithmetic with eyes closed, (3) passive eyes open, and (4) mental reasoning with eyes open. Results show that D2 increases during mental arithmetic with eyes closed and is significantly larger in the left brain than the right one during the mental reasoning with eyes open.
Keywords :
biomedical measurement; correlation methods; electroencephalography; medical signal processing; nonlinear dynamical systems; EEG nonlinear analysis; EEG recording conditions; EEG signal complexity; Grassberger-Procaccia algorithm; correlation dimension; cortical network dynamical changes; electroencephalogram signals; eyes closed; eyes open; fast GP algorithms; left brain; mental activity; mental arithmetic; mental reasoning; nonlinear dynamical systems; passive; right brain; Arithmetic; Delay estimation; Diseases; Educational institutions; Educational technology; Electroencephalography; Eyes; Laboratories; Signal analysis; Voltage;
Conference_Titel :
Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
Print_ISBN :
0-7803-7523-8
DOI :
10.1109/MWSCAS.2002.1187029
