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
收藏
页码：1339 / 1340
页数：2
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