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

doi:10.1016/S0378-4371(97)00508-6

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

Department of Physics - at Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

57 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 language	English
Pages (from-to)	491-500
Number of pages	10
Journal	Physica A: Statistical Mechanics and its Applications
Volume	249
Issue number	1-4
DOIs	https://doi.org/10.1016/S0378-4371(97)00508-6
State	Published - 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.

Funding

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.

Funders	Funder number
National Science Foundation
National Institute of Mental Health	MH54081
National Institute on Aging	R29AG014100
G. Harold and Leila Y. Mathers Charitable Foundation

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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.",

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AU - Goldberger, A. L.

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

Abstract

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