Cross coherence independent component analysis in resting and action states EEG discrimination

9th National Seminar on Medical Physics

物理学;医药卫生

Almurshedi, A.^1 ; Ismail, A.K.^1

Department of Physics, Faculty of Science, Universiti Teknologi Malaysia, Johor

81310, Malaysia^1

关键词: Brain signals;    Cross-coherence;    Electroencephalogram signals;    Frontal areas;    Independent component analyses (ICA);    Time frequency analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/546/1/012019/pdf
DOI  :  10.1088/1742-6596/546/1/012019

学科分类：卫生学

来源: IOP

【 摘 要 】

Cross Coherence time frequency transform and independent component analysis (ICA) method were used to analyse the electroencephalogram (EEG) signals in resting and action states during open and close eyes conditions. From the topographical scalp distributions of delta, theta, alpha, and beta power spectrum can clearly discriminate between the signal when the eyes were open or closed, but it was difficult to distinguish between resting and action states when the eyes were closed. In open eyes condition, the frontal area (Fp1, Fp2) was activated (higher power) in delta and theta bands whilst occipital (O1, O2) and partial (P3, P4, Pz) area of brain was activated alpha band in closed eyes condition. The cross coherence method of time frequency analysis is capable of discrimination between rest and action brain signals in closed eyes condition.