ECG beat classification using neuro-fuzzy network


Engin M.

PATTERN RECOGNITION LETTERS, vol.25, no.15, pp.1715-1722, 2004 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 15
  • Publication Date: 2004
  • Doi Number: 10.1016/j.patrec.2004.06.014
  • Title of Journal : PATTERN RECOGNITION LETTERS
  • Page Numbers: pp.1715-1722

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: (C) 2004 Elsevier B.V. All.rights reserved.