title: Multiple-time scales analysis of physiological time series under neural control.
abstract: We discuss multiple-time scale properties of neurophysiological control mechanisms, using heart rate and gait regulation as model systems. We find that scaling exponents can be used as prognostic indicators. Furthermore, detection of more subtle degradation of scaling properties may provide a novel early warning system in subjects with a variety of pathologies including those at high risk of sudden death.
authors.affiliation: Harvard Medical School, Boston, MA 02215, USA.
authors.forename: C K
authors.initials: CK
authors.lastname: Peng
authors.forename: J M
authors.initials: JM
authors.lastname: Hausdorff
authors.forename: S
authors.initials: S
authors.lastname: Havlin
authors.forename: J E
authors.initials: JE
authors.lastname: Mietus
authors.forename: H E
authors.initials: HE
authors.lastname: Stanley
authors.forename: A L
authors.initials: AL
authors.lastname: Goldberger
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001341:Autonomic Nervous System / Q000502:physiology*; D003627:Data Interpretation, Statistical; D005260:Female; D017709:Fractals; D005684:Gait / Q000502:physiology*; D006333:Heart Failure / Q000503:physiopathology; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D006816:Huntington Disease / Q000503:physiopathology; D008297:Male; D013997:Time Factors