Ringwood, John and Malpas, Simon C. (2001) Slow oscillations in blood pressure via a nonlinear feedback model. American Journal of Physiology: Regulatory, Integrative and Comparative Physiology, 280 (4). R1105-R1115. ISSN 0363-6119
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Abstract
Blood pressure is well established to
contain a potential oscillation between 0.1 and 0.4 Hz, which
is proposed to reflect resonant feedback in the baroreflex
loop. A linear feedback model, comprising delay and lag
terms for the vasculature, and a linear proportional derivative
controller have been proposed to account for the 0.4-Hz
oscillation in blood pressure in rats. However, although this
model can produce oscillations at the required frequency,
some strict relationships between the controller and vasculature
parameters must be true for the oscillations to be
stable. We developed a nonlinear model, containing an amplitude-
limiting nonlinearity that allows for similar oscillations
under a very mild set of assumptions. Models constructed
from arterial pressure and sympathetic nerve
activity recordings obtained from conscious rabbits under
resting conditions suggest that the nonlinearity in the feedback
loop is not contained within the vasculature, but rather
is confined to the central nervous system. The advantage of
the model is that it provides for sustained stable oscillations
under a wide variety of situations even where gain at various
points along the feedback loop may be altered, a situation
that is not possible with a linear feedback model. Our model
shows how variations in some of the nonlinearity characteristics
can account for growth or decay in the oscillations and
situations where the oscillations can disappear altogether.
Such variations are shown to accord well with observed
experimental data. Additionally, using a nonlinear feedback
model, it is straightforward to show that the variation in
frequency of the oscillations in blood pressure in rats (0.4
Hz), rabbits (0.3 Hz), and humans (0.1 Hz) is primarily due to
scaling effects of conduction times between species.
Item Type: | Article |
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Keywords: | sympathetic nervous system; baroreflex; stability; describing function; artificial neural network; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 9507 |
Identification Number: | 10.1152/ajpregu.2001.280.4.R1105 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 05 Jun 2018 15:43 |
Journal or Publication Title: | American Journal of Physiology: Regulatory, Integrative and Comparative Physiology |
Publisher: | American Physiological Society |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/9507 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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