Detection of ECG waveforms by neural networks

Zümray Dokur; Tamer Ölmez; Ertugrul Yazgan; Okan K. Ersoy

doi:10.1016/S1350-4533(97)00029-5

Detection of ECG waveforms by neural networks

Zümray Dokur^*, Tamer Ölmez, Ertugrul Yazgan, Okan K. Ersoy

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Research output: Contribution to journal › Article › peer-review

64 Citations (Scopus)

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. Crow 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.

Original language	English
Pages (from-to)	738-741
Number of pages	4
Journal	Medical Engineering and Physics
Volume	19
Issue number	8
DOIs	https://doi.org/10.1016/S1350-4533(97)00029-5
Publication status	Published - Oct 1997

Keywords

Detection
ECG waveforms
Neural networks

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10.1016/S1350-4533(97)00029-5

Cite this

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Detection of ECG waveforms by neural networks

Abstract

Keywords

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