Modeling of nonlinear physiological systems with fast and slow dynamics. II. Application to cerebral autoregulation

G. D. Mitsis; R. Zhang; B. D. Levine; V. Z. Marmarelis

doi:10.1114/1.1477448

Modeling of nonlinear physiological systems with fast and slow dynamics. II. Application to cerebral autoregulation

G. D. Mitsis, R. Zhang, B. D. Levine, V. Z. Marmarelis

Research output: Contribution to journal › Article

81 Scopus citations

Abstract

The methodology of the Laguerre-Volterra network for systems with fast and slow dynamics was used to study dynamic autoregulation of cerebral hemodynamics. A nonlinear model including low-frequency autoregulation dynamics was obtained for the purpose. Cerebral autoregulation was found to be a nonlinear and frequency-dependent system with considerable nonstationarities.

Original language	English (US)
Pages (from-to)	555-565
Number of pages	11
Journal	Annals of Biomedical Engineering
Volume	30
Issue number	4
DOIs	https://doi.org/10.1114/1.1477448
State	Published - Jul 16 2002

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Keywords

Cerebral autoregulation
Cerebral hemodynamics
Lagurre-Volterra network
Nonlinear modeling
Nonstationary systems
Volterra kernels

ASJC Scopus subject areas

Biomedical Engineering

Cite this

Mitsis, G. D., Zhang, R., Levine, B. D., & Marmarelis, V. Z. (2002). Modeling of nonlinear physiological systems with fast and slow dynamics. II. Application to cerebral autoregulation. Annals of Biomedical Engineering, 30(4), 555-565. https://doi.org/10.1114/1.1477448

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10.1114/1.1477448