A two-dimensional clustering technique for identification of multiform ventricular complexes.
A computer algorithm for the identification of multiform ectopic ventricular complexes in 24-hour ambulatory electrocardiographic recordings is described. The clustering technique established regions, based on R-R interval and ST-segment slope, in a two-dimensional probability space based on the fit of each ventricular complex. The boundaries of any overlapping regions are analyzed using a Bayesian decision rule to minimize misclassification.
D001145:Arrhythmias, Cardiac / Q000503:physiopathology*; D005117:Cardiac Complexes, Premature / Q000503:physiopathology; D003201:Computers; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D008991:Monitoring, Physiologic / Q000379:methods*; D013029:Space-Time Clustering