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Multivariate multiscale entropy for brain consciousness analysis
Mosabber Uddin Ahmed, Ling Li, Jianting Cao, and Danilo P. Mandic
In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, pages 182-196. IEEE EMBS, August 2011.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.
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@inproceedings{3183,
author = {Mosabber Uddin Ahmed and Ling Li and Jianting Cao and Danilo P. Mandic},
title = {Multivariate Multiscale Entropy for Brain Consciousness Analysis},
month = {August},
year = {2011},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2011/3183},
publication_type = {inproceedings},
submission_id = {279_1320791341},
ISBN = {9781424441228},
publisher = {IEEE EMBS},
booktitle = {Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE},
}