ECG beat classification using neuro-fuzzy network

被引：132
|
作者：
Engin, M [1 ]
机构：
[1] Ege Univ, Fac Engn, Dept Elect & Elect Engn, TR-35100 Izmir, Turkey
来源：
PATTERN RECOGNITION LETTERS | 2004年 / 25卷 / 15期
关键词：
ECG beat classification; MIT/BIH database; neuro-fuzzy networks; higher-order statistics; wavelet transform; AR modelling; pattern recognition;
D O I：
10.1016/j.patrec.2004.06.014
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we have studied the application on the fuzzy-hybrid neural network for electrocardiogram (ECG) beat classification. Instead of original ECG beat, we have used; autoregressive model coefficients, higher-order cumulant and wavelet transform variances as features. Tested with MIT/BIH arrhytmia database, we observe significant performance enhancement using proposed method: (C) 2004 Elsevier B.V. All.rights reserved.
引用
收藏
页码：1715 / 1722
页数：8
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