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

Abstract : 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.
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https://www.hal.inserm.fr/inserm-00131060
Contributor : Lotfi Senhadji <>
Submitted on : Thursday, February 15, 2007 - 9:00:17 AM
Last modification on : Tuesday, July 3, 2018 - 10:58:04 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 9:17:14 PM

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Lotfi Senhadji, Feng Wang, Alfredo Hernandez, Guy Carrault. Wavelets extrema representation for QRS-T cancellation and P wave detection. Computers In Cardiology, Sep 2002, Memphis, United States. pp.37-40, ⟨10.1109/CIC.2002.1166701⟩. ⟨inserm-00131060⟩

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