The QRS Complex Detection of ECG Signal Based on IPCMM Algorithm

QRS complex detection plays an important role in the identification and classification of ECG signals. In this paper, a new QRS complex detection algorithm named II-P&T algorithm is proposed based on I-P&T algorithm by means of the IPCMM algorithm rather than fdatool to generate a bandpass digital filter and a lowpass digital filter. Simulation demonstrates that on the MIT-BIH database, the performance of the proposed II-P&T algorithm is better than P&T and I-P&T algorithm in terms of sensitivity (Se), positive predictivity (PP), detection error (DER) of the proposed algorithm with results of Se = 99.62%, PP = 99.54%, and DER = 0.84%. The ECG classification accuracy of the II-P&T+SVM algorithm reaches 97.68%, which is higher than the I-P&T+SVM algorithm. Therefore, II-P&T algorithm can accurately locate the QRS complex wave and reduce the number of false detections and can be used to the process of the feature extraction of ECG signal.