Nonlinear Analysis of Dynamic Cerebral Autoregulation in Humans under Orthostatic Stress

Georgios D. Mitsis, Aarthi Mahalingam, Rong Zhang, Benjamin D. Levine, Vasilis Z. Marmarelis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The effects of orthostatic stress on cerebral autoregulation are assessed by examining the dynamic relationship between spontaneous fluctuations of cerebral blood flow and arterial blood pressure under various levels of Lower Body Negative Pressure (LBNP) in healthy humans. The Laguerre-Volterra network methodology for modeling nonlinear systems is employed to this purpose. Results are obtained in the form of Volterra kernels as well as in the form of the dynamic modes of the system. Three significant modes are identified, one of them residing mostly in the linear system dynamics, and the other two residing in the nonlinear system dynamics. The obtained results reveal that the latter are affected mainly in the low frequency range (below 0.04 Hz), whereas they remain unaffected in the intermediate frequency range (between 0.04 and 0.08 Hz) and are affected moderately above 0.08 Hz.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsR.S. Leder
Pages398-401
Number of pages4
Volume1
StatePublished - 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

Other

OtherA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Country/TerritoryMexico
CityCancun
Period9/17/039/21/03

Keywords

  • Cerebral autoregulation
  • Laguerre-Volterra network
  • Nonlinear modeling
  • Orthostatic stress

ASJC Scopus subject areas

  • Bioengineering

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