Title :
Multi-data source fusion agent based method for ECG classification
Author :
Ben Boussada, Elhoucine ; Ben Ayed, Mounir ; Alimi, Adel M.
Author_Institution :
Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
Abstract :
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.
Keywords :
diseases; electrocardiography; medical signal processing; multi-agent systems; sensor fusion; signal classification; ECG beats; ECG classification; MIT-BIH arrhythmia database; anomaly cardiac signal diagnosis; heart disease diagnosis; multiagent system; multidata source fusion agent-based method; Data integration; Databases; Electrocardiography; Feature extraction; Multi-agent systems; Neural networks; Training; ECG; MIT-BIH database; PSO; artificial intelligence; dam fusion; multi agent system;
Conference_Titel :
Computer Applications Technology (ICCAT), 2013 International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-5284-0
DOI :
10.1109/ICCAT.2013.6569167
