Wavelets extrema representation for QRS-T cancellation and P wave detection

Senhadji, Lotfi ; Wang, Feng ; Hernandez, Alfredo ; Carrault, Guy

HAL, inserm-00131060 / Harvested from HAL

Résumé

P wave detection requires a robust QRS-T cancellation method. Interesting algorithms have been proposed for beat-to-beat QRS-T cancellation. Previous studies have shown that adaptive methods lead to good cancellation of the QRS-T interval which generally guarantees the performance of P wave detection. However, adaptive methods suffer from the nonstationary behavior of ECG signals and particularly beat-to-beat morphology changes of the QRS. We present a new approach for two ECG channel QRS-T cancellation based on the dyadic wavelet transform. The method is insensitive to QRS morphology changes and performs well in the presence of ectopic beats, transient artifacts, baseline drifts and isolated P waves. Our approach allows the P wave to be enhanced better than methods recently proposed.

Détail

Publié le : 2002-09-22
Classification:  ECG signal,  P wave detection,  QRS morphology changes,  baseline drifts,  beat-to-beat QRS-T cancellation,  dyadic wavelet transform,  ectopic beats,  isolated P waves,  robust QRS-T cancellation method,  transient artifacts,  wavelet extrema representation,  multichannel P wave detection,  ROC curves,  adaptive detection,  MESH: electrocardiography,  MESH: medical signal processing,  MESH: wavelet transforms,  [SDV.IB]Life Sciences [q-bio]/Bioengineering,  [STAT.AP]Statistics [stat]/Applications [stat.AP],  [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing,  [MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT],  [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing