NDLI: Intrinsic Mode Entropy for Nonlinear Discriminant Analysis

Content Provider	IEEE Xplore Digital Library
Author	Amoud, H. Snoussi, H. Hewson, D. Doussot, M. Duchene, J.
Copyright Year	1994
Abstract	Several methods of measuring entropy of time series have been developed and applied on physiological signals in order to distinguish data sets according to their underlying nonlinear dynamics. These methods are not well adapted for studying the time series in different scales, in the presence of dominant local trends and low-frequency components. In this letter, intrinsic mode entropy (IMEn) is proposed as an entropy measure over multiple oscillation levels. Robustness to local trends is ensured with this new measure, enabling an efficient characterization of the underlying nonlinear dynamics of the time series considered. IMEn is obtained by computing the Sample Entropy (SampEn) of the cumulative sums of the intrinsic mode functions extracted by the empirical mode decomposition method. An example of an application of IMEn is then presented, with the method able to successfully discriminate between two groups of subjects (elderly versus control) for signals of postural stability
Sponsorship	IEEE Signal Processing Society
Starting Page	297
Ending Page	300
Page Count	4
File Size	237514
File Format	PDF
ISSN	10709908
Volume Number	14
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Time measurement Data mining Signal analysis Time series analysis Signal processing Signal processing algorithms Robustness Senior citizens Stability posture Biomedical signal processing empirical mode decomposition (EMD) entropy nonlinear systems nonlinear time series analysis physiological signals
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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