The QRS Complex Detection Approach

A graphical representation of the electrical signals generated during the heart activity could be termed as Electrocardiogram (ECG). Analysis of ECG by identifying the various features and traits could help us detect the normal and pathological physiology of the heart, thus providing valuable information about the activity of the human heart. Automatic classification of ECG has evolved as an emerging tool in medical diagnosis for effective treatments. In this paper, a real time algorithm for detection of QRS Complex and its duration has been developed. Also, the work proposed in this paper reviews and summarizes the various techniques used by researchers in order to detect and delineate QRS Complex. ECG signals in this work are collected from MIT-BIH database and it has been implemented using MATLAB routine consisting of four different databases formats. The processing of the data was done on the Lead-II ECG signals