Comparison of discrete wavelet and Fourier transforms for ECG beat classification


Dokur Z. , Olmez T. , YAZGAN E.

ELECTRONICS LETTERS, vol.35, no.18, pp.1502-1504, 1999 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 35 Issue: 18
  • Publication Date: 1999
  • Doi Number: 10.1049/el:19991095
  • Title of Journal : ELECTRONICS LETTERS
  • Page Numbers: pp.1502-1504

Abstract

Two feature extraction methods, Fourier and wavelet analyses for ECG beat classification, are comparatively investigated. ECG features are searched by dynamic programming according to the divergence values. 10 types of ECG beat from an MIT-BIH database are classified with a success of 97% using a restricted Coulomb energy mural network trained by genetic algorithms.