Multiscale entropy based study of the pathological time series
Wang Jun (王俊), Ma Qian-Li (马千里)
Image Processing and Image Communications Key Laboratory, College of Telecommunications & Information Engineering, Nanjing University of Posts & Telecommunications, Nanjing 210003, China
Abstract This paper studies the multiscale entropy (MSE) of electrocardiogram's ST segment and compares the MSE results of ST segment with that of electrocardiogram in the first time. Electrocardiogram complexity changing characteristics has important clinical significance for early diagnosis. Study shows that the average MSE values and the varying scope fluctuation could be more effective to reveal the heart health status. Particularly the multiscale values varying scope fluctuation is a more sensitive parameter for early heart disease detection and has a clinical diagnostic significance.
Received: 14 December 2007
Revised: 01 July 2008
Accepted manuscript online:
Fund: Project supported by the National
Science Foundation (Grant No 60501003) and Jiangsu Province
University Science Research Guidance Plans (Grant No 06KJD510138).
We also acknowledge support
from Jiangsu Province Cyan projects (Grant No TJ207016).
Cite this article:
Wang Jun (王俊), Ma Qian-Li (马千里) Multiscale entropy based study of the pathological time series 2008 Chin. Phys. B 17 4424
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