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Analysis of Cerebral Blood Flow by Linear Modeling

Author(s):

Ke Li
Conference/Journal:

Semester Thesis HS 11 (10128)
Abstract:

Cerebral hemodynamic autoregulation is an imp01tant mechanism of lnunan body to maintain a constant cerebral blood flow (CBF) despite of a variety of physiological changes. Previous studies have shown that the absence of cerebral autoregulation plays an important role in several diseases such as migraine, head trauma etc. To get better tmderstanding of cerebral autoregulation and CBF dynamics, in this project we analyzed simultaneous measurements of CBF, arterial blood pressm·e (ABP) and the percentage volume concentration of C02 (pC02) in the breathing air. In-vivo data were collected under different breathing conditions on 19 healthy volunteers. In order to identify CBF and understand the underlying mechanism, we modeled CBF dynamics with ABP and p C02 as its main determinants by m~ans of linear discrete-time nndels in the Output En or (OE) formulatioa The model fitting performance was evaluated at both the individual subject and the global levels. It was fotmd that this model class can fit the data relatively well but with some inherent problems such as slower dynamic response and less high- fi-equency oscillations. Moreove1~ the attempt to find one global OE model structme which can provide a good fit for all subjects did not bring conclusive results. The preliminary modeling and analysis work of this project provides a start point and directions for fhrther studies.

Year:

2012
Type of Publication:

(13)Semester/Bachelor Thesis
Supervisor:

R. Porreca

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2012:IFA_4124
}
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