Nonlinear, multiple-input modeling of cerebral autoregulation using Volterra Kernel estimation

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 2375-2378

  Kouchakpour, H ^a   Allen, R ^a   Simpson, D M ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Blood flow; Blood pressure; Cerebral autoregulation; CO2; Laguerre volterra networks (LVNs).; Non linear analysis; Physiological systems; Volterra kernel models

Indexed keywords

BLOOD FLOW; CEREBRAL AUTOREGULATION; CO2; LAGUERRE; PHYSIOLOGICAL SYSTEMS; VOLTERRA KERNELS;

BLOOD; BLOOD PRESSURE; BRAIN; CARBON DIOXIDE; COMPUTER SIMULATION; CONTROL SYSTEMS; GLUCOSE; HEMODYNAMICS; NONLINEAR ANALYSIS; OXYGEN SUPPLY; TISSUE;

PHYSIOLOGICAL MODELS;

GLUCOSE; OXYGEN;

ADULT; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BLOOD FLOW VELOCITY; BLOOD PRESSURE; BRAIN; BRAIN CIRCULATION; HOMEOSTASIS; HUMAN; METABOLISM; MULTIVARIATE ANALYSIS; PATHOLOGY; PHYSIOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; TIME;

ADULT; ALGORITHMS; BLOOD FLOW VELOCITY; BLOOD PRESSURE; BRAIN; CEREBROVASCULAR CIRCULATION; GLUCOSE; HOMEOSTASIS; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; OXYGEN; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 78650805724     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627266     Document Type: Conference Paper

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