Multiscale entropy based study of the pathological time series

doi:10.1088/1674-1056/17/12/015

中国物理B ›› 2008, Vol. 17 ›› Issue (12): 4424-4427.doi: 10.1088/1674-1056/17/12/015

Multiscale entropy based study of the pathological time series

王俊, 马千里

Image Processing and Image Communications Key Laboratory, College of Telecommunications & Information Engineering, Nanjing University of Posts & Telecommunications, Nanjing 210003, China

收稿日期:2007-12-14 修回日期:2008-07-01 出版日期:2008-12-20 发布日期:2008-12-20
基金资助:
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).

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

Received:2007-12-14 Revised:2008-07-01 Online:2008-12-20 Published:2008-12-20
Supported by:
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).

摘要/Abstract

摘要： 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.

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.

Key words: electrocardiogram, ST segment, multiscale entropy, coronary heart disease

中图分类号: (Cardiac dynamics)

87.19.Hh

05.45.Tp (Time series analysis) 87.19.R- (Mechanical and electrical properties of tissues and organs) 87.80.-y (Biophysical techniques (research methods))

王俊, 马千里. Multiscale entropy based study of the pathological time series[J]. 中国物理B, 2008, 17(12): 4424-4427.

Wang Jun (王俊), Ma Qian-Li (马千里). Multiscale entropy based study of the pathological time series[J]. Chin. Phys. B, 2008, 17(12): 4424-4427.

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Multiscale entropy based study of the pathological time series

Multiscale entropy based study of the pathological time series

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