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
收藏
页码：4595 / +
页数：2
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