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On the Algorithm for QRS Complexes Localisation in Electrocardiogram


Mohamed Ben MESSAOUD, Dr-Ing


Vol. 7  No. 5  pp. 28-34


Various techniques have been utilized in computer-assisted arrhythmia recognition for the management of cardiac disorders. To identify any arrhythmias characteristics, generally, the QRS complex is taken as a reference because the important amplitude. Several algorithms are developed to localise the R peaks. Most physiologic signal detection algorithms are based on pre-processing and deciding stages if an incoming peak is a true component based on a user specified threshold. Some have significantly large processing times. In this paper, a simpler idea is proposed and developed to localise efficiency the occurrence time of R wave of electrocardiograms. The proposed algorithm treats the decision step. Our key idea is to equalize the maxima of the signal and to attenuate the lower amplitude of P and T. to accomplish the task, we introduce a characteristic function which acts essentially on the zone of the threshold action; consequently, the activated zone where the threshold occurs is enlarged and the amplitude of the other domains is attenuated. The evaluation of the tested algorithm is performed to pre-classified ECG data from the MIT-BIH database and The MIT-BIH Polysomnographic Database. The simulation result prove the efficiency by exhibiting over 99,5% of sensitivity and positive predictivity. Due to its fast time execution, this algorithm can be applied in routine ambulatory heart rate screening.


Electrocardiogram, beat variability, QRS detection, wavelet transform, sensitivity