Title :
Toward online, noninvasive, nonlinear assessment of cerebral autoregulation
Author :
Aoi, Mikio C. ; Matzuka, Brett J. ; Olufsen, Mette S.
Author_Institution :
Dept. of Math., North Carolina State Univ., Raleigh, NC, USA
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Online estimation of cerebral autoregulation (CA) may be advantageous in neurosurgical and neurointensive care units. Data from transcranial Doppler, and continuous arterial blood pressure are readily available at high temporal resolution and may be used to assess CA. There are currently no methods for nonlinear, noninvasive, online assessment of CA. We frame the assessment of CA as a parameter estimation problem, in which we estimate the parameters of a nonlinear mathematical model of CA using the ensemble Kalman filter (EnKF). In this simulation study, we use the EnKF to estimate the parameters of a model of cerebral hemodynamics which predicts intracranial pressure and cerebral blood flow velocity, generated from real patient arterial blood pressure measurements. We examine the flexibility and appropriateness of the EnKF for CA assessment.
Keywords :
Kalman filters; haemodynamics; neurophysiology; nonlinear dynamical systems; parameter estimation; physiological models; EnKF; cerebral blood flow velocity; cerebral hemodynamics; continuous arterial blood pressure; ensemble Kalman filter; intracranial pressure; neurointensive care units; neurosurgical units; noninvasive cerebral autoregulation assessment; nonlinear cerebral autoregulation assessment; nonlinear mathematical model; online cerebral autoregulation assessment; parameter estimation problem; transcranial Doppler measurements; Arterial blood pressure; Blood; Data models; Estimation; Mathematical model; Monitoring; Parameter estimation; Blood Flow Velocity; Blood Pressure; Brain; Cerebral Arteries; Cerebrovascular Circulation; Diagnosis, Computer-Assisted; Feedback, Physiological; Humans; Models, Cardiovascular; Nonlinear Dynamics; Online Systems;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090671
