A model of cerebral blood flow velocity as a function of mean arterial blood pressure using Kalman filter estimation techniques

F. Kamangar, M. A. Masnadi-Shirazi, K. Behbehani, R. Zhang, N. Nazeran, B. D. Levine

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

1 Scopus citations

Abstract

A fourth order linear finite impulse response (FIR) model of cerebral blood flow velocity (CBFV) as a function of mean arterial blood pressure (MABP) was investigated. Kalman filter estimation was employed to estimate the model parameters. Experimental evaluation of this model in 12 healthy subjects (37±7yr) revealed that the relationship between CBFV and MABP is best described by a time varying FIR model.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages1339-1340
Number of pages2
Volume2
Publication statusPublished - 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

Other

OtherProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)
CountryUnited States
CityHouston, TX
Period10/23/0210/26/02

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Keywords

  • Blood pressure
  • Cerebral blood flow
  • Kalman filter

ASJC Scopus subject areas

  • Bioengineering

Cite this

Kamangar, F., Masnadi-Shirazi, M. A., Behbehani, K., Zhang, R., Nazeran, N., & Levine, B. D. (2002). A model of cerebral blood flow velocity as a function of mean arterial blood pressure using Kalman filter estimation techniques. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 2, pp. 1339-1340)