title: Statistical discriminant analysis of arrhythmias using intracardial electrograms.
abstract: The problem of classifying ventricular arrhythmias from intracardial electrograms is considered. Standard statistical discrimination procedures are applied using a simple parametric model for the shape of the pulse near its peak. This approach makes simultaneous use of the model parameters, has well known statistical properties, and involves computations that can be carried out efficiently. Preliminary analyses of real data sets, using both linear and quadratic discrimination functions, yield promising results.
authors.affiliation: Department of Mathematics and Statistics, University of New Brunswick, Fredericton, Canada.
authors.forename: T R
authors.initials: TR
authors.lastname: Turner
authors.forename: P J
authors.initials: PJ
authors.lastname: Thomson
authors.forename: M A
authors.initials: MA
authors.lastname: Cameron
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000145:classification* / Q000209:etiology; D016002:Discriminant Analysis; D004562:Electrocardiography; D004867:Equipment Design; D006801:Humans; D009203:Myocardial Infarction / Q000150:complications; D010138:Pacemaker, Artificial; D012815:Signal Processing, Computer-Assisted