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

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

2410

Lastpage

2413

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6090671

Filename

6090671