title: Application of statistical physics to heartbeat diagnosis.
abstract: We present several recent studies based on statistical physics concepts that can be used as diagnostic tools for heart failure. We describe the scaling exponent characterizing the long-range correlations in heartbeat time series as well as the multifractal features recently discovered in heartbeat rhythm. It is found that both features, the long-range correlations and the multifractility, are weaker in cases of heart failure.
authors.affiliation: Department of Physics, Bar-Ilan University, Ramat-Gan, Israel. havlin@phys9.ph.biu.ac.il
authors.forename: S
authors.initials: S
authors.lastname: Havlin
authors.forename: L A
authors.initials: LA
authors.lastname: Amaral
authors.forename: Y
authors.initials: Y
authors.lastname: Ashkenazy
authors.forename: A L
authors.initials: AL
authors.lastname: Goldberger
authors.lastname: Ivanov PCh
authors.forename: C K
authors.initials: CK
authors.lastname: Peng
authors.forename: H E
authors.initials: HE
authors.lastname: Stanley
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D055592:Biophysical Phenomena; D001703:Biophysics; D016757:Death, Sudden, Cardiac / Q000473:pathology* / Q000517:prevention & control; D003920:Diabetes Mellitus / Q000473:pathology; D005260:Female; D017709:Fractals; D006333:Heart Failure / Q000175:diagnosis* / Q000473:pathology* / Q000517:prevention & control; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008433:Mathematics; D008875:Middle Aged