Multi-Data Source Fusion Agent Based Method For ECG Classification

被引：0
|
作者：
Ben Boussada, Elhoucine [1 ]
Ben Ayed, Mounir [1 ]
Alimi, Adel M. [1 ]
机构：
[1] Natl Sch Engineers Sfax, Sfax, Tunisia
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS TECHNOLOGY (ICCAT) | 2013年
关键词：
data fusion; ECG; artificial intelligence; multi agent system; PSO; MIT-BIH database;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we purpose to develop a system to aid in the diagnosis of anomalies cardiac signals (ECG). This system is based on data fusion and architected by using the multi-agents system for ECG classification. Therefore, the proposed system helps doctors to quickly and precisely diagnose a heart disease by examining only the class of the ECG beats. This system is tested on a MIT-BIH arrhythmia database.
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收藏
页数：4
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