Comparison of discrete wavelet and Fourier transforms for ECG beat classification

Dokur Z., Olmez T., YAZGAN E.

ELECTRONICS LETTERS, cilt.35, sa.18, ss.1502-1504, 1999 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 18
  • Basım Tarihi: 1999
  • Doi Numarası: 10.1049/el:19991095
  • Dergi Adı: ELECTRONICS LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1502-1504
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.