title: An algorithm for phase-space detection of the P characteristic points.
abstract: A new algorithm, based on embedding phase space, to detect the P-wave characteristic points of an ECG signal is reported in this paper. The multi-lead ECG is transformed into points of an embedding phase space where similar ECG morphologies are converted into phase space points that are close using some distance measure. The algorithm is robust with respect to the type of selected characteristic points (onset, peak and end), morphology changes, baseline oscillations and high frequency noise. The performance of the algorithm has been successfully validated using both simulated and real ECG signals.
authors.affiliation: Depto. de Ingeniería de Sistemas y Automática, University of Valladolid, Spain. albher@eis.uva.es
authors.forename: Alberto
authors.initials: A
authors.lastname: Herreros
authors.forename: Enrique
authors.initials: E
authors.lastname: Baeyens
authors.forename: José Ramón
authors.initials: JR
authors.lastname: Peran
authors.forename: Rolf
authors.initials: R
authors.lastname: Johansson
authors.forename: Jonas
authors.initials: J
authors.lastname: Carlson
authors.forename: Bertil
authors.initials: B
authors.lastname: Olsson
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001331:Automation; D002138:Calibration; D003198:Computer Simulation; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods*; D001330:Electronic Data Processing; D006329:Heart Conduction System; D006801:Humans; D015233:Models, Statistical; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D013997:Time Factors