A new adaptive filtering algorithm for determining the limits of P and T waves in an ECG was proposed and tested on real registers, demonstrating immunity to baseline drifts.
A novel adaptive signal processing algorithm provides a robust method for determining P and T wave limits in ECGs, overcoming baseline drift issues.
A new algorithm for the determination of the limits of P and T waves is proposed, and its foundations are mathematically analyzed. The algorithm performs an adaptive filtering so that the searched point corresponds to a minimum. Crucial properties of its performance are discussed, i.e., immunity to base line drifts and full adaptation to any cardiological criteria. A series of tests are made involving real registers with different morphologies for P and T-waves.
Soria‐Olivas et al. (Thu,) conducted a other in ECG analysis. Adaptive signal processing algorithm was evaluated on Determination of the limits of P and T waves. A new adaptive filtering algorithm for determining the limits of P and T waves in an ECG was proposed and tested on real registers, demonstrating immunity to baseline drifts.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: