Detection of ECG waveforms by neural networks


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

MEDICAL ENGINEERING & PHYSICS, vol.19, no.8, pp.738-741, 1997 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 19 Issue: 8
  • Publication Date: 1997
  • Doi Number: 10.1016/s1350-4533(97)00029-5
  • Journal Name: MEDICAL ENGINEERING & PHYSICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.738-741
  • Keywords: neural networks, ECG waveforms, detection
  • Istanbul Technical University Affiliated: Yes

Abstract

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.