Multiscale entropy analysis of electrocardiogram.
- Author:
Jun WANG
1
;
Xinbao NING
;
Jin LI
;
Qianli MA
;
Yinlin XU
;
Chunhua BIAN
Author Information
1. Image Processing and Image Communications Key Lab., College of Telecommunication and Information Engineering, Nanjing Univ. of Posts & Telecomm., Nanjing 210003, China. wangj@njupt.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Coronary Disease;
physiopathology;
Electrocardiography;
methods;
Entropy;
Humans;
Myocardial Infarction;
physiopathology;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2007;24(5):978-980
- CountryChina
- Language:Chinese
-
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.
