SCCMI Algorithm for Coupling Analysis of Multi-Lead Epileptic EEG Signals

Chao Cui; Ting Ting  Han; Meng Qiu Gao; Wei Lu; Chao Zou; De Bo Song

doi:10.4028/www.scientific.net/AMM.373-375.681

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375SCCMI Algorithm for Coupling Analysis of...

SCCMI Algorithm for Coupling Analysis of Multi-Lead Epileptic EEG Signals

Abstract:

Symbolic-code condition mutual information (SCCMI) algorithm is proposed,which can detect coupling between several systems.SCCMI combines condition mutual information with symbolic-code algorithm. Condition mutual information entropy is used to finding coupling degree between time series .The meaning of symbolic-code algorithm is to retention large scale information of time sequence, whats more ,reduce noise effect. SCCMI algorithm is used to analyze difference of coupling between epileptic EEG signals and normal ones .Hypothesis testing was done by SPSS.It turns out that the difference between epileptic EEG signals and normal ones is significant.SCCMI algorithm is proved to be effective. And coupling degree can be used as a parameter to measure if brain is healthy.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

681-684

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.681

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Online since:

August 2013

Authors:

Chao Cui, Ting Ting Han, Meng Qiu Gao, Wei Lu, Chao Zou, De Bo Song

Keywords:

Condition Mutual Information, Coupling Analysis, Epileptic EEG Signals, Symbolic-Code

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