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At what data length do cerebral autoregulation measures stabilise?

Abstract:

Cerebral autoregulation is commonly assessed through mathematical models that use non-invasive measurements of arterial blood pressure and cerebral blood flow velocity. There is no agreement in the literature as to what is the minimum length of data needed for the cerebral autoregulation coefficients to stabilise.We introduce a simple empirical tool for studying the minimum length of time series needed to parameterise three popular cerebral autoregulation coefficients ARI, Mx and Phase (in th...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/1361-6579/aa76a9

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Nikolic, D More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Keble College
NIHR/Wellcome Trust More from this funder
Publisher:
IOP Publishing Publisher's website
Journal:
Physiological Measurement Journal website
Volume:
38
Issue:
7
Pages:
1396-1404
Publication date:
2017-06-27
Acceptance date:
2017-06-02
DOI:
EISSN:
1361-6579
ISSN:
0967-3334
Pubs id:
pubs:700898
URN:
uri:70dd3d25-8547-4c4d-90cd-b927e706d2b4
UUID:
uuid:70dd3d25-8547-4c4d-90cd-b927e706d2b4
Local pid:
pubs:700898

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