[Multiscale entropy analysis of electrocardiogram].

Jun, Wang; Xinbao, Ning; Jin, Li; Qianli, Ma; Yinlin, Xu; Chunhua, Bian

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Article . 2009

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[Multiscale entropy analysis of electrocardiogram].

descriptionPublicationkeyboard_double_arrow_right Article 26 May 2009Journal:Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, volume 24 (issn: 1001-5515,

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Authors: Jun, Wang; Xinbao, Ning; Jin, Li; Qianli, Ma; Yinlin, Xu; Chunhua, Bian;

pmid: 18027679

[Multiscale entropy analysis of electrocardiogram].

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Abstract

Using the algorithm proposed by Costa M, et al., we studied the multiscale entropy (MSE) of electrocardiogram. The sample entropy (SampEn) of the healthy subjects was found to be higher than that of the subjects with coronary heart disease or myocardial infarction. The healthy subjects' complexity was found to be the highest. The SampEn of the subjects with coronary heart disease was noted to be only slightly higher than that of the subjects with myocardial infarction. These findings show that the complexity of the subjects with coronary heart disease or myocardial infarction is distinctly lower than the complexity of the healthy ones, and the subjects suffereing from coronary heart disease are liable to the onset of myocardial infarction.

Related Organizations

Nanjing University of Posts and Telecommunications
China (People's Republic of)

Keywords

Electrocardiography, Entropy, Myocardial Infarction, Humans, Coronary Disease, Signal Processing, Computer-Assisted, Algorithms

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