PMID: 9450258Feb 5, 1998Paper

Detection of ECG waveforms by neural networks

Medical Engineering & Physics
Z DokurO K Ersoy

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.

References

Mar 1, 1985·IEEE Transactions on Bio-medical Engineering·J Pan, W J Tompkins

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Citations

Sep 12, 2001·Computer Methods and Programs in Biomedicine·Z Dokur, T Olmez
Jan 1, 2011·Medical Devices : Evidence and Research·W PhanphaisarnPp Yupapin
Jun 13, 2008·Computer Methods and Programs in Biomedicine·Yun-Chi Yeh, Wen-June Wang
Apr 9, 2002·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·Bert-Uwe KöhlerReinhold Orglmeister
Apr 10, 2004·IEEE Transactions on Bio-medical Engineering·Juan Pablo MartínezPablo Laguna
Feb 28, 2006·Medical Engineering & Physics·João P V MadeiroRobson S Siqueira
Feb 16, 2015·Computers in Biology and Medicine·Mi-Hye SongKyoung-Joung Lee
Aug 11, 2011·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Francisco RincónDavid Atienza
Sep 28, 2010·Physiological Measurement·Arturo MartínezJosé Joaquín Rieta
Mar 30, 2018·Computational and Mathematical Methods in Medicine·Pedro David AriniGuillermo Claudio Bertrán
Aug 18, 2018·Australasian Physical & Engineering Sciences in Medicine·Sandeep RajOm Shankar
Apr 30, 2019·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·Ervin Domazet, Marjan Gusev
Jul 25, 2021·Scientific Reports·Sahil Dalal, Virendra P Vishwakarma

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