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.
引用
收藏
页数：4
相关论文
共 50 条
  • [31] An Evidence theory and data fusion based classification method for decision making
    Meng, Fanding
    Li, Aihua
    Liu, Zhidong
    8TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2020 & 2021): DEVELOPING GLOBAL DIGITAL ECONOMY AFTER COVID-19, 2022, 199 : 892 - 899
  • [32] A Q-learning-based multi-agent system for data classification
    Pourpanah, Farhad
    Tan, Choo Jun
    Lim, Chee Peng
    Mohamad-Saleh, Junita
    APPLIED SOFT COMPUTING, 2017, 52 : 519 - 531
  • [33] Identification of Edible Oil Based on Multi-source Spectra Data Fusion
    Yu Yaru
    Tu Bing
    Wang Jie
    Wu Shuang
    Zheng Xiao
    He Dongping
    PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017), 2017, 130 : 903 - 908
  • [34] Factor Graph based Multi-source Data Fusion for Wireless Localization
    Zhao, Wanlong
    Meng, Weixiao
    Chi, Yonggang
    Han, Shuai
    2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, 2016,
  • [35] Multi-source Heterogeneous Data Fusion Method for Pipe Gallery Condition Monitoring
    Wang, Gang
    Liu, Jingwen
    Li, Guopeng
    Li, Zhilei
    Gong, Zhidan
    Huang, Wenlin
    Wang, Helan
    Cai, Guoyuan
    PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20), 2020, : 1359 - 1363
  • [36] A Novel Truncated Normal Tensor Completion Method for Multi-Source Fusion Data
    Zhao, Yongmei
    MATHEMATICS, 2024, 12 (02)
  • [37] Multilayer and Multi-agent Data Fusion in WSN
    Zhang, Sheng
    Liu, Xiaodong
    Bao, Xiaoling
    Song, William Wei
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2014 WORKSHOPS, 2015, 9051 : 211 - 225
  • [38] Multi-source precipitation data fusion analysis and application based on Bayesian-Three Cornered Hat method
    Zhao J.
    Liu Y.
    Xu J.
    Wang G.
    Shao Y.
    Yang L.
    Shuikexue Jinzhan/Advances in Water Science, 2023, 34 (05): : 685 - 696
  • [39] Research on Multi-source and Asynchronous Data Fusion of Target Trajectory Based on the Modified Ensemble Kalman Filter Method
    Zhang Zequn
    Ren Wenjuan
    Fu Kun
    Fang Jifei
    Zhang Yue
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 40 (09) : 2143 - 2149
  • [40] Reinforcement Learning Based Data Fusion Method for Multi-Sensors
    Zhou, Tongle
    Chen, Mou
    Zou, Jie
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 7 (06) : 1489 - 1497
12345