title: Long- and short-time analysis of heartbeat sequences: correlation with mortality risk in congestive heart failure patients.
abstract: We analyze RR heartbeat sequences with a dynamic model that satisfactorily reproduces both the long- and the short-time statistical properties of heart beating. These properties are expressed quantitatively by means of two significant parameters, the scaling delta concerning the asymptotic effects of long-range correlation, and the quantity 1-pi establishing the amount of uncorrelated fluctuations. We find a correlation between the position in the phase space (delta, pi) of patients with congestive heart failure and their mortality risk.
authors.affiliation: Istituto di Linguistica Computazionale del Consiglio Nazionale delle Ricerche, Ghezzano-Pisa, Italy.
authors.forename: P
authors.initials: P
authors.lastname: Allegrini
authors.forename: R
authors.initials: R
authors.lastname: Balocchi
authors.forename: S
authors.initials: S
authors.lastname: Chillemi
authors.forename: P
authors.initials: P
authors.lastname: Grigolini
authors.forename: P
authors.initials: P
authors.lastname: Hamilton
authors.forename: R
authors.initials: R
authors.lastname: Maestri
authors.forename: L
authors.initials: L
authors.lastname: Palatella
authors.forename: G
authors.initials: G
authors.lastname: Raffaelli
mesh_terms: D001703:Biophysics / Q000379:methods*; D002320:Cardiovascular Physiological Phenomena; D006331:Heart Diseases / Q000503:physiopathology; D006333:Heart Failure / Q000401:mortality* / Q000503:physiopathology*; D006339:Heart Rate; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D015999:Multivariate Analysis; D017711:Nonlinear Dynamics; D012306:Risk; D012815:Signal Processing, Computer-Assisted; D016019:Survival Analysis; D013599:Systole; D013995:Time