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Coupling Analysis of Electroencephalogram Based on Mutual Mode Entropy

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Abstract:

This paper presents a mutual mode entropy algorithm to quantify the degree of coupling between two simultaneous acquisition of beta rhythm EEG time series. Applying the algorithm to calculate beta rhythm EEG and hypothesis testing, the results show that coupling degree was significantly different between different physiological states which indicating that mutual mode entropy can be used to analyze the coupling between the time series. The mutual mode entropy also can be parameter measuring brain state which can be applied to assist future clinical evaluation of brain function.

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Periodical:

Advanced Materials Research (Volumes 884-885)

Pages:

415-418

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.884-885.415

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Cite this paper

Online since:

January 2014

Authors:

Ning Ji, Jia Fei Dai, Jun Wang*

Keywords:

Beta Rhythm, Coupling, Electroencephalogram, Mutual Mode Entropy

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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