Title: QRS complex identification using Hilbert transform, variable threshold and slope reversal approach

Authors: S.K. Mukhopadhyay; M. Mitra; S. Mitra

Addresses: Faculty of Technology, Department of Applied Physics, University of Calcutta, 92 APC Road, Kolkata 700 009, India ' Faculty of Technology, Department of Applied Physics, University of Calcutta, 92 APC Road, Kolkata 700 009, India ' Department of Electronics, Netaji Nagar Day College, University of Calcutta, 170/436, N.S.C. Bose Road, Regent Estate, Kolkata 700 092, India

Abstract: The present paper proposes an accurate detection algorithm of QRS complex of ECG signal. Here, Hilbert Transform of the first derivative of the ECG signal is computed at first. In the transformed signal, samples having amplitudes within a certain threshold are marked. In the original ECG signal, locations, where those marked samples undergo slope reversals, are identified as the R-peaks. Q, S, QRS onset and offset points are also detected properly. A good degree of accuracy is achieved in Sensitivity (Se = 99.89%) and Positive Predictivity (PP = 99.93%) of R peak detection. R peak height and QRS duration measurement errors are also less.

Keywords: first derivative; Hilbert transform; variable threshold; slope reversal; left traversal; ECG signals; electrocardiograms; QRS complex identification.

DOI: 10.1504/IJBET.2012.049215

International Journal of Biomedical Engineering and Technology, 2012 Vol.9 No.4, pp.301 - 315

Published online: 12 Dec 2014 *

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