Mahdi, Adam, Nikolic, Dragana, Birch, Anthony A., Olufsen, Mark, Panerai, Ronney B., Simpson, David M. and Payne, Stephen J. (2017) Increased blood pressure variability upon standing up improves reproducibility of cerebral autoregulation indices. Medical Engineering & Physics. (doi:10.1016/j.medengphy.2017.06.006).
Abstract
Background: Dynamic cerebral autoregulation, that is the transient response of cerebral blood flow to changes in arterial blood pressure, is currently assessed using a variety of different time series methods and data collection protocols. In the continuing absence of a gold standard for the study of cerebral autoregulation it is unclear to what extent does the assessment depend on the choice of a computational method and protocol.
Methods: We use continuous measurements of blood pressure and cerebral blood flow velocity in the middle cerebral artery from the cohorts of 18 normotensive subjects performing sit-to-stand manoeuvre. We estimate cerebral autoregulation using a wide variety of black-box approaches (ARI, Mx, Sx, Dx, FIR and ARX) and compare them in the context of reproducibility and variability.
Results: For all autoregulation indices, considered here, the ICC was greater during the standing protocol, however, it was significantly greater (Fisher’s Z-test) for Mx (p < 0.03), Sx (p < 0.003) and Dx (p < 0.03).
Conclusions: In the specific case of the sit-to-stand manoeuvre, measurements taken immediately after standing up greatly improve the reproducibility of the autoregulation coefficients. This is generally coupled with an increase of the within-group spread of the estimates.
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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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