title: [An algorithm for atrial premature beat classification with abnormal ECG rhythm analysis].
abstract: In this paper, an algorithm for atrial premature beat classification with abnormal ECG rhythm analysis is presented. The classification algorithm identifies QRS morphology by template matching and recognizes abnormal ECG rhythm by the features of heart rate and ECG. Algorithm has been evaluated by the MIT-BIH arrhythmia database and the results show that the specificity and the sensitivity for atrial premature beat are 99.5% and 96.9% respectively. atrial premature, arrhythmia, beat classification
authors.affiliation: College of Life Sciences, Zhejiang University, Hangzhou.
authors.forename: Zheng
authors.initials: Z
authors.lastname: Tang
authors.forename: Hang
authors.initials: H
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000503:physiopathology; D018880:Atrial Premature Complexes / Q000503:physiopathology*; D004562:Electrocardiography / Q000379:methods*; D012815:Signal Processing, Computer-Assisted