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Detection of ECG waveforms by neural networks |
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| Authors: | Zü mray Dokur,Tamer Ö lmez,Ertugrul Yazgan,Okan K. Ersoy |
| Affiliation: | a Istanbul Technical University, Electrical & Electronics Engineering Department, 80626 Maslak Istanbul Turkey b Purdue University, School of Electrical and Computer Engineering West Lafayette, IN 47907 U.S.A. |
| 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. |
| Keywords: | Electrocardiography Neural networks Spectrum analysis Signal detection Vectors Grow and learn (GAL) neural networks Kohonen neural networks |
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