Key result
Advanced P wave detection algorithm outperforms existing methods with ~96% sensitivity in pathological ECGs.
Population
12 pathological ECG records from MIT-BIH Arrhythmia Database annotated by experts and physiological records from MIT-BIH Arrhythmia and QT databases
Comparison
Novel phasor transform-based P wave detection method with morphological feature rules vs other existing methods
Design
Algorithm development and validation study using expert-annotated ECG databases
Authors
Loading...
May aid automated arrhythmia analysis; leaves open prospective validation before clinical adoption.
A novel phasor transform-based algorithm significantly improves P wave detection in pathological ECG signals, facilitating better automated arrhythmia analysis.
Maršánová et al. (2019) studied Arrhythmias. Advanced P wave detection algorithm vs. Existing P wave detection methods was evaluated on Sensitivity of P wave detection in pathological signals. The proposed advanced P wave detection algorithm achieved a sensitivity of 96.40% and positive predictivity of 85.84% in pathological ECG signals, outperforming existing methods.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: