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 journalArticle

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 languageEnglish (US)
Pages (from-to)555-565
Number of pages11
JournalAnnals of Biomedical Engineering
Volume30
Issue number4
DOIs
StatePublished - Jul 16 2002

Keywords

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

ASJC Scopus subject areas

  • Biomedical Engineering

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