ECG beat classification using neuro-fuzzy network

被引：134

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

页码：1715 / 1722

页数：8

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