A model of cerebral blood flow velocity as a function of mean arterial blood pressure using Kalman filter estimation techniques

被引：0

作者：

Kamangar, F ^{[1
]}

Masnadi-Shirazi, MA ^{[1
]}

Behbehani, K ^{[1
]}

Zhang, R ^{[1
]}

Nazeran, N ^{[1
]}

Levine, BD ^{[1
]}

机构：

[1] Univ Texas, Arlington, TX 76019 USA

来源：

SECOND JOINT EMBS-BMES CONFERENCE 2002, VOLS 1-3, CONFERENCE PROCEEDINGS: BIOENGINEERING - INTEGRATIVE METHODOLOGIES, NEW TECHNOLOGIES | 2002年

关键词：

cerebral blood flow; blood pressure; Kalman filter;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A fourth order linear finite impulse response (FIR) model of cerebral blood flow velocity (CBFV) as a function of mean arterial blood pressure ((MABP) was investigated. Kalman filter estimation was employed to estimate the model parameters. Experimental evaluation of this model in 12 healthy subjects (37+/-7yr) revealed that the relationship between CBFV and MABP is best described by a time varying FIR model.

引用

页码：1339 / 1340

页数：2

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