Comparison of discrete wavelet and Fourier transforms for ECG beat classification

被引：48
|
作者：
Dokur, Z [1 ]
Ölmez, T [1 ]
Yazgan, E [1 ]
机构：
[1] Istanbul Tech Univ, Dept Elect & Commun Engn, TR-80626 Istanbul, Turkey
来源：
ELECTRONICS LETTERS | 1999年 / 35卷 / 18期
关键词：
D O I：
10.1049/el:19991095
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Two feature extraction methods, Fourier and wavelet analyses for ECG beat classification, are comparatively investigated. ECG features are searched by dynamic programming according to the divergence values. 10 types of ECG beat from an MIT-BIH database are classified with a success of 97% using a restricted Coulomb energy mural network trained by genetic algorithms.
引用
收藏
页码：1502 / 1504
页数：3
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