Cross coherence independent component analysis in resting and action states EEG discrimination
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 s...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Physics Publishing
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/52265/1/AhmedAlmurshedi2014_Crosscoherenceindependentcomponent.pdf http://eprints.utm.my/id/eprint/52265/ http://dx.doi.org/10.1088/1742-6596/546/1/012019 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | 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 |
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