Detection of Real Time QRS Complex Using Wavelet Transform

Fatima Yasmeen (Integral University)
Mohammad Arifuddin Mallick (Integral University)
Yusuf Uzzaman Khan (Aligarh Muslim University)

International Journal of Electrical and Computer Engineering
Vol 8, No 5: October 2018

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.