Optimising the assessment of cerebral autoregulation from black box models

Medical Engineering and Physics

Volumn 36, Issue 5, 2014, Pages 607-612

  Angarita Jaimes, N ^a   Kouchakpour, H ^b   Liu, J ^c   Panerai, R B ^d   Simpson, D M ^b  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^d UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Autoregulation; Blood flow; Modelling; System identification

Indexed keywords

HEMODYNAMICS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; MODELS;

ARTERIAL BLOOD PRESSURE; AUTOREGULATIONS; BLOOD FLOW; CEREBRAL AUTOREGULATION; CEREBRAL BLOOD FLOW VELOCITIES; CONVENTIONAL APPROACH; NONLINEAR APPROACH; QUANTITATIVE ASSESSMENTS;

TISSUE;

ADULT; ARTERIAL PRESSURE; ARTICLE; AUTOREGULATION; BLOOD FLOW VELOCITY; BRAIN BLOOD FLOW; CEREBRAL AUTOREGULATION; HEMODYNAMIC PARAMETERS; HUMAN; HUMAN EXPERIMENT; HYPERCAPNIA; MIDDLE CEREBRAL ARTERY; NORMAL HUMAN; PRIORITY JOURNAL; BIOLOGICAL MODEL; BLOOD PRESSURE; BRAIN; BRAIN CIRCULATION; HOMEOSTASIS; NONLINEAR SYSTEM; PATHOPHYSIOLOGY; STATISTICAL MODEL;

ADULT; BLOOD PRESSURE; BRAIN; CEREBROVASCULAR CIRCULATION; HOMEOSTASIS; HUMANS; HYPERCAPNIA; LINEAR MODELS; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS;

EID: 84899644372     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2013.12.012     Document Type: Article

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