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R Wave Extraction from ECG Signal using Modified Wavelet Transform

Abstract— Electro Cardiogram (ECG) is used to measure and diagnose electrical activity of heart. R peak detection from ECG signal is our main goal. It is the basic mark for identification of different arrhythmias. In this paper, R wave extraction is performed by using Wavelet Transform. The wavelet transform has risen over late years as an effective time– frequency analysis and it is efficiently analyze complex non stationary signals. In this research, R wave is extracted accurately then heart beat is analyzed by the detection of RR intervals. In this research, R peak is detected accurately by this type of approach. By accurate detection of R peak, cardiac diseases can easily be identified such as Sinus tachycardia, Sinus bradycardia, Supraventricular tachycardia (SVT), atrial fibrillation (AF), Ventricular tachycardia, Heart block and Sudden Cardiac Arrest (SCA).

Index Terms— ECG signal, R-wave, QRS complex-R interval, wavelet transform, ECG Peak detection

Syed Hassaan Ahmed, Tahir Zaidi, Nauman Razzaq, Abdul Rehman
College of E&ME, National University of Sciences and Technology, PAKISTAN
University of Wah, PAKISTAN

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Cite: Syed Hassaan Ahmed, Tahir Zaidi, Nauman Razzaq, Abdul Rehman, "R Wave Extraction from ECG Signal using Modified Wavelet Transform," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 756-761, Beijing, 25-27 June, 2017.