Multivariate Multiscale Entropy for Brain Consciousness Analysis

Ahmed, Mosabber Uddin and Li, Ling and Cao, Jianting and Mandic, Danilo P. (2011) Multivariate Multiscale Entropy for Brain Consciousness Analysis. In: Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE. (The full text of this publication is not available from this repository)

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http://www.cs.kent.ac.uk/pubs/2011/3183

Abstract

The recently introduced multiscale entropy (MSE) analysis accounts for the complexity over multiple time scales and therefore can reveal the complex structure of the biological signal. The existing MSE algorithm deals with scalar time series whereas multivariate time series are common in experimental and biological systems. To that cause, the MSE method is extended to multivariate case in this paper. Simulation results to characterize brain consciousness supports the efficiency of this holistic approach.

Item Type: Conference or workshop item (UNSPECIFIED)
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Faculties > Science Technology and Medical Studies > School of Computing > Future Computing Group
Depositing User: Caroline Li
Date Deposited: 21 Sep 2012 09:49
Last Modified: 21 Sep 2012 09:49
Resource URI: http://kar.kent.ac.uk/id/eprint/30735 (The current URI for this page, for reference purposes)
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