ECG beat classification using neuro-fuzzy network
Articles > Article · 2004
Authors: Mehmet ENGİN
Pattern Recognition Letters, Journal Indexed in SCI Expanded, International, WoS, 2004, vol 25, pp 1715-1722
DOI: 10.1016/j.patrec.2004.06.014
Summary
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.