QRS complex identification using Hilbert transform, variable threshold and slope reversal approach
by S.K. Mukhopadhyay; M. Mitra; S. Mitra
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 9, No. 4, 2012

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.

Online publication date: Fri, 12-Dec-2014

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