Title: Autocorrelation and Hilbert transform-based QRS complex detection in ECG signal

Authors: Jaya P. Sahoo; Manab K. Das; Samit Ari; Sheemarani Behera

Addresses: Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela 769008, India ' Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela 769008, India ' Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela 769008, India ' Department of Electronics and Tele-communication Engineering, Synergy Institute of Engineering and Technology, Dhenkanal 759001, India

Abstract: In this paper, detection of QRS complex in Electrocardiogram (ECG) signal based on Autocorrelation and Hilbert transform (HT) is proposed. The autocorrelation method is used to determine the duration of one cardiac cycle of ECG signal and HT method is applied to detect the R-peaks point in ECG signal. The proposed algorithm is evaluated on MIT-BIH arrhythmia database and achieves a detection error rate of 0.12%, sensitivity of 99.93% and positive prediction of 99.95%. The proposed method shows better performance as compared to other two established techniques like Pan-Tompkins method and the technique that uses the Difference Operation Method (DOM).

Keywords: autocorrelation; ECG signals; Hilbert transform; MIT-BIH arrhythmia database; QRS complex detection; electrocardiograms; heart rate; cardiac arrhythmia.

DOI: 10.1504/IJSISE.2014.057939

International Journal of Signal and Imaging Systems Engineering, 2014 Vol.7 No.1, pp.52 - 58

Received: 05 Feb 2011
Accepted: 09 May 2011

Published online: 24 Oct 2014 *

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