Multiple-time scales analysis of physiological time series under neural control

C. K. Peng, J. M. Hausdorff, S. Havlin, J. E. Mietus, H. E. Stanley, A. L. Goldberger

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

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.

Original languageEnglish
Pages (from-to)491-500
Number of pages10
JournalPhysica A: Statistical Mechanics and its Applications
Volume249
Issue number1-4
DOIs
StatePublished - 2 Jan 1998

Bibliographical note

Funding Information:
We are grateful to K.K.L. Ho, Z. Ladin, L.A. Lipsitz, G.B. Moody, P. Purdon and J.Y. Wei for valuable discussions. Partial support was provided to CKP and JMH by NIMH (MH54081), to JMH by NIA (AG 14100), to HES and SH by NSF and to ALG by the G. Harold and Leila Y. Mathers Charitable Foundation and NASA.

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