@article{6c17fef7f4d045aab722f30845fff1ed,
title = "Modeling of nonlinear physiological systems with fast and slow dynamics. II. Application to cerebral autoregulation",
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.",
keywords = "Cerebral autoregulation, Cerebral hemodynamics, Lagurre-Volterra network, Nonlinear modeling, Nonstationary systems, Volterra kernels",
author = "Mitsis, {G. D.} and R. Zhang and Levine, {B. D.} and Marmarelis, {V. Z.}",
note = "Funding Information: This work was supported by Grant No. RR-01861 awarded to the Biomedical Simulations Resource at the University of Southern California from the National Center for Research Resources of the National Institutes of Health and Grant No. 98BG058 awarded to the Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center at Dallas and Presbyterian Hospital of Dallas from American Heart Association Texas Affiliate.",
year = "2002",
doi = "10.1114/1.1477448",
language = "English (US)",
volume = "30",
pages = "555--565",
journal = "Annals of biomedical engineering",
issn = "0090-6964",
publisher = "Springer Netherlands",
number = "4",
}