ECG Signal Processing and Analysis for Accurate Features Extraction

Abstract

Heart is the most essential organ of the body which maintain the circulation of blood to various parts of the human body. Arrhythmia, a rhythmic disorder of the heart due to which heart cannot pump blood properly. The main purpose of this work to extract potential biomarkers of arrhythmia using two algorithms: Pan-Tompkins Algorithm and Wavelet based algorithm. ECG signals used in the system were downloaded from the MIT-BIH arrhythmia database. These signals were then imported to MATLAB and pre-processed. QRS complexes of the ECG signal are accurately detected by using the abovementioned algorithms. Features including QRS duration, RR interval and PR interval were accurately calculated for the entire dataset. Performance of the two algorithms done based on accuracy of the QRS detector.