Detection of ECG waveforms by neural networks

Dokur Z., OLMEZ T., YAZGAN E., ERSOY O.

MEDICAL ENGINEERING & PHYSICS, cilt.19, sa.8, ss.738-741, 1997 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 8
  • Basım Tarihi: 1997
  • Doi Numarası: 10.1016/s1350-4533(97)00029-5
  • Dergi Adı: MEDICAL ENGINEERING & PHYSICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.738-741
  • Anahtar Kelimeler: neural networks, ECG waveforms, detection
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

In this study, ECG waveform detection was performed by using artificial neural networks (ANNs). Initially, the R peak of the QRS complex is detected, and then feature vectors are formed by using the amplitudes of the significant frequency components of the DFT spectrum. Grow and Learn (GAL) and Kohonen networks are comparatively investigated to detect four different ECG waveforms. The comparative performance results of GAL and Kohonen networks are reported. (C) 1997 IPEM Published by Elsevier Science Ltd.