ECG diagnosis using neural network and fuzzy expert system

被引：0
|
作者：
Sivathasan, S [1 ]
Cecelja, F [1 ]
Balachandran, W [1 ]
机构：
[1] Brunel Univ, Dept Syst Engn, Uxbridge UB8 3PH, Middx, England
来源：
IMTC/2000: PROCEEDINGS OF THE 17TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE: SMART CONNECTIVITY: INTEGRATING MEASUREMENT AND CONTROL | 2000年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The aim of this research is to develop an intelligent diagnostic system to be used in the coronary care unit (CCU) for both optimal therapy and clinical research. The system will have the abilities to detect, analyse, interpret, intervene, code and store all modifications in the input streams of the electrical signals which reflect a significant change in the patients physiological state using retrospective case history analysis. The novelty of this research is to use the artificial neural network as a classifier and fuzzy expert system for the final diagnostic decision.
引用
收藏
页码：988 / 992
页数：5
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