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Fatima Yasmeen
Integral University
Computer Science & IT Electrical & Electronics Engineering

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Detection of Real Time QRS Complex Using Wavelet Transform Fatima Yasmeen; Mohammad Arifuddin Mallick; Yusuf Uzzaman Khan
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.41 KB) | DOI: 10.11591/ijece.v8i5.pp2857-2863

Abstract

This paper presents a novel method for QRS detection. To accomplish this task ECG signal was first filtered by using a third order Savitzky Golay filter. The filtered ECG signal was then preprocessed by a Wavelet based denoising in a real-time fashion to minimize the undefined noise level. R-peak was then detected from denoised signal after wavelet denoising. Windowing mechanism was also applied for finding any missing R-peaks. All the 48 records have been used to test the proposed method. During this testing, 99.97% sensitivity and 99.99% positive predictivity is obtained for QRS complex detection.
Co-Authors Mohammad Arifuddin Mallick Yusuf Uzzaman Khan