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                  <date type="start">2002-09-22</date>
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                <term xml:lang="en">adaptive detection</term>
                <term xml:lang="en">ROC curves</term>
                <term xml:lang="en">multichannel P wave detection</term>
                <term xml:lang="en">wavelet extrema representation</term>
                <term xml:lang="en">transient artifacts</term>
                <term xml:lang="en">robust QRS-T cancellation method</term>
                <term xml:lang="en">isolated P waves</term>
                <term xml:lang="en">ectopic beats</term>
                <term xml:lang="en">dyadic wavelet transform</term>
                <term xml:lang="en">beat-to-beat QRS-T cancellation</term>
                <term xml:lang="en">baseline drifts</term>
                <term xml:lang="en">QRS morphology changes</term>
                <term xml:lang="en">P wave detection</term>
                <term xml:lang="en">ECG signal</term>
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              <p>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.</p>
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