title: Application of dynamical analyses of heart rate to rhythm classification and prognosis.
abstract: We have developed numerical approaches to dynamical analysis of heart rates, measured as interbeat or RR, intervals, based on entropy and fluctuation analyses in a large data base of consecutive Holter monitor recordings. In Part I, we present a RR interval-based classifier that distinguishes normal sinus rhythm (NSR), atrial fibrillation (AF) and sinus rhythm with ectopy with an accuracy of 99%, 81% and 77%respectively, using 10-minute segments. In Part II, we present 2-year mortality estimation based on the entropy calculations. The major finding is that normal dynamics identify a very low risk group. Taken together, these results point to automated analysis of heart rate time series with important clinical applications.
authors.forename: M
authors.initials: M
authors.lastname: Carrara
authors.forename: L
authors.initials: L
authors.lastname: Carozzi
authors.forename: S
authors.initials: S
authors.lastname: Cerutti
authors.forename: M
authors.initials: M
authors.lastname: Ferrario
authors.forename: D E
authors.initials: DE
authors.lastname: Lake
authors.forename: J R
authors.initials: JR
authors.lastname: Moorman
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001281:Atrial Fibrillation / Q000503:physiopathology*; D016208:Databases, Factual; D015716:Electrocardiography, Ambulatory / Q000379:methods*; D019277:Entropy; D006339:Heart Rate; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D011379:Prognosis; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D016896:Treatment Outcome