ROBUST DETECTION OF QRS COMPLEX USING KLAUDER WAVELETS (FriAmPO4)

Author(s) : Philippe Ravier (Laboratoire d'Électronique, Signaux, Images - Orléans University, France) Olivier Buttelli (Laboratoire de la Performance Motrice, AMCO group, Orléans University, France)

Abstract : The level of performance as well as the timing accuracy in the detection of QRS complex may be crucial for further nonlinear biomedical signal processing applied on the de-rived RR time series. By studying the fatigue process during exercise, a highly non-stationary noise is expected as well as time-varying QRS complex morphology. In difficult recording conditions, the QRS complex detectors have to be extremely robust but also have to meet high performance requirements. To achieve this aim, a "smoothed" matched filtering is realized on specific wavelet coefficient patterns in the time-scale plane. The detection is enhanced using the family of Klauder wavelets which demonstrate similarities to ECG waveforms. The algorithm only needs to capture a correct QRS complex snapshot before launching the detection.

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