title: Wavelet and receiver operating characteristic analysis of heart rate variability.
abstract: Multiresolution wavelet analysis has been used to study the heart rate variability in two classes of patients with different pathological conditions. The scale dependent measure of Thurner et al. was found to be statistically significant in discriminating patients suffering from hypercardiomyopathy from a control set of normal subjects. We have performed Receiver Operating Characteristc (ROC) analysis and found the ROC area to be a useful measure by which to label the significance of the discrimination, as well as to describe the severity of heart dysfunction.
authors.affiliation: Department of Physics and Astronomy, University of Wales, Cardiff, United Kingdom.
authors.forename: G
authors.initials: G
authors.lastname: McCaffery
authors.forename: T M
authors.initials: TM
authors.lastname: Griffith
authors.forename: K
authors.initials: K
authors.lastname: Naka
authors.forename: M P
authors.initials: MP
authors.lastname: Frennaux
authors.forename: C C
authors.initials: CC
authors.lastname: Matthai
mesh_terms: D000704:Analysis of Variance; D055592:Biophysical Phenomena; D001703:Biophysics; D002312:Cardiomyopathy, Hypertrophic / Q000503:physiopathology; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics; D012372:ROC Curve; D019462:Syncope, Vasovagal / Q000503:physiopathology