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 | |
| State | Published - 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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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