A PC-BASED NEURAL NETWORK FOR ONLINE MEASUREMENT OF REGIONAL CEREBRAL BLOOD-FLOW

被引：6

作者：

WU, FY ^{[1
]}

YEN, KK ^{[1
]}

机构：

[1] FLORIDA INT UNIV,DEPT ELECT & COMP ENGN,MIAMI,FL 33199

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 1992年 / 22卷 / 1-2期

关键词：

REGIONAL CEREBRAL BLOOD FLOW; XE-133 INHALATION METHOD; FEEDFORWARD NEURAL NETWORK; BACKPROPAGATION LEARNING ALGORITHM;

D O I：

10.1016/0010-4825(92)90049-S

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The measurement of regional cerebral blood flow has been used in diagnoses for many cerebral disorders. However, the complexity of data processing makes the technique only possible for off-line study. This paper explores a PC-based neural net technique for on-line determination of the blood flow rate. Experimental results justify the efficiency of the proposed methodology and raise the possibility of designing a portable system for time-critical applications.

引用

收藏

页码：23 / 32

页数：10

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