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

Almurshedi, Ahmed and Ismail, Abd. Khamim (2014) Cross coherence independent component analysis in resting and action states EEG discrimination. 9th National Seminar on Medical Physics (NSMP2014), 546 (1). ISSN 1742-6588

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Official URL: http://dx.doi.org/10.1088/1742-6596/546/1/012019

Abstract

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

Item Type:Article
Uncontrolled Keywords:independent component analysis, brain signals, cross-coherence, electroencephalogram signals, frontal areas
Subjects:Q Science
Divisions:Science
ID Code:52265
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Feb 2016 11:51
Last Modified:17 Sep 2018 12:01

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