Simpson, David, Nikolic, Dragana, Katsogridakis, Emmanuel and Panerai, Ronney B. (2016) Cerebral autoregulation: every normal subject is the average, the rest is noise? The European Study Group on Cardiovascular Oscillations, Lancaster, United Kingdom, United Kingdom. 09 - 13 Apr 2016. 2 pp . (Submitted)
Abstract
Cerebral autoregulation (CA) refers to the ability of the brain to maintain blood flow approximately constant, when blood pressure changes. The assessment of CA presents many challenges and often leads to considerable dispersion among CA measures even within groups of healthy adults. This results in great difficulty in setting a clear border between normal and impaired CA. The current work considers if the diversity of results seen in normal subjects is just "noise", or might provide useful information that could be exploited in developing more robust clinical assessment methods. In this paper we ask how between- and within-subject variability in CA compare, and how this changes between rest and a protocol with augmented variability in blood pressure. The latter was motivated by the previous observation that increased variability (unsurprisingly) leads to more robust estimates of the relationship between blood pressure and flow. In the current work, random inflations of thigh-cuffs (TC) were used to provoke this increased challenge to the CA system.
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- Faculties (pre 2018 reorg) > Faculty of Engineering and the Environment (pre 2018 reorg) > Southampton Marine & Maritime Institute (pre 2018 reorg)
- Faculties (pre 2018 reorg) > Faculty of Engineering and the Environment (pre 2018 reorg) > Inst. Sound & Vibration Research (pre 2018 reorg) > Signal Processing & Control Grp (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Engineering > Institute of Sound and Vibration Research > Inst. Sound & Vibration Research (pre 2018 reorg) > Signal Processing & Control Grp (pre 2018 reorg)
Institute of Sound and Vibration Research > Inst. Sound & Vibration Research (pre 2018 reorg) > Signal Processing & Control Grp (pre 2018 reorg)
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