Detection of the R wave peak of QRS complex using neural network

A robust algorithm for QRS detection using neural network is proposed in this paper. Neural network is used to detect QRS complex from ECG signal. This method allows R peak to be differentiated from large peaked T and P waves with a high degree of accuracy and minimizes the problem associated with the noises in the ECG signal. To detect QRS complex, backpropagation neural network (BPNN) is chosen to learn the characteristics of R peak and false positive peaks are calculated. The performance of algorithm was tested using the records of MIT-BIH Arrhythmia database.