Detection of cardiac abnormalities in ECG signal using time-based signal processing algorithm

Electrocardiograms are bioelectrical signals that provide information regarding the normal and abnormal physiology of the heart.Early detection of cardiac irregularities in cardiac patients prevents strokes and sudden deaths.The effective functioning of the heart in each individual is dependent on the amplitude and interval values of the P-QRS-T segment.In this work, a modified Pan-Tompkins algorithm is used for identifying the characteristic points.Various signal characteristics, including R-R interval, T-amplitude, and QRS duration, were meticulously quantified and compared with NSR to