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Automated Detection of QRS Complex in ECG Signal using Wavelet Transform


Rekha Rani, V. S. Chouhan,H. P. Sinha


Vol. 16  No. 1  pp. 109-113


Heart failure is number one cause of mortality surpassing other diseases. The percentage of people having heart disease has increased from 1-2% to 3-5% in rural India and from 2-3 % to 10-11% percent in India alone i.e. 300% over the past 30 years. The number of risk factors related to heart diseases like high blood pressure, high cholesterol and physical inactivity. The morphology and rhythm of ECG signal contains vital information about the status of cardiac health. The presence or absence of P-wave, QRS complexes, T-wave and duration and amplitude of these waveforms depict the type of abnormalities present in the signal. This paper presents timely and accurate detection of QRS complexes present in the ECG signal.


CWT, Denoising, ECG signal, Wavelets, Wavelet coefficients.