Neural network models for biosignal analysis

被引：0

作者：

Cohen, Maurice E. ^{[1
]}

Hudson, Donna L. ^{[1
]}

机构：

[1] Univ Calif San Francisco, San Francisco, CA 93701 USA

来源：

2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15 | 2006年

关键词：

nonlinear analysis; neural network modeling; chaos theory; biosignals; symbolic processing;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Signal analysis provides important clues for diagnosis of disease in many arenas, particularly in cardiology. While each result may give good diagnostic information, a comprehensive decision model requires the combination of results. In the work described here, a neural network model is used to combine various features obtained through signal analysis. The original model is based on electrocardiogram (ECG analysis). This model is extended in two ways: the neural network model is expanded to include other clinical parameters in addition to the ECG and the method is generalized to include other biosignals.

引用

页码：4595 / +

页数：2

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