title: An algorithm for robust and efficient location of T-wave ends in electrocardiograms.
abstract: The purpose of this paper is to propose a new algorithm for T-wave end location in electrocardiograms, mainly through the computation of an indicator related to the area covered by the T-wave curve. Based on simple assumptions, essentially on the concavity of the T-wave form, it is formally proved that the maximum of the computed indicator inside each cardiac cycle coincides with the T-wave end. Moreover, the algorithm is robust to acquisition noise, to wave form morphological variations and to baseline wander. It is also computationally very simple: the main computation can be implemented as a simple finite impulse response filter. When evaluated with the PhysioNet QT database in terms of the mean and the standard deviation of the T-wave end location errors, the proposed algorithm outperforms the other algorithms evaluated with the same database, according to the most recent available publications up to our knowledge.
authors.affiliation: IRISA, Campus de Beaulieu, 35042 Rennes, France. zhang@irisa.fr
authors.forename: Qinghua
authors.initials: Q
authors.lastname: Zhang
authors.forename: Alfredo Illanes
authors.initials: AI
authors.lastname: Manriquez
authors.forename: Claire
authors.initials: C
authors.lastname: Médigue
authors.forename: Yves
authors.initials: Y
authors.lastname: Papelier
authors.forename: Michel
authors.initials: M
authors.lastname: Sorine
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology*; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity