ECG beat classification using neuro-fuzzy network

Authors:
Mehmet Engin
Affiliations:
Electrical and Electronics Engineering Department, Faculty of Engineering, Ege University, Bornova, Izmir 35100, Turkey
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

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.