Algorithm for ECG forms clustering based on artificial neural networks

被引：0
|
作者：
Van, G. V. [1 ]
Nekrasov, I. A. [1 ]
机构：
[1] St Petersburg Electrotech Univ, LETI, St Petersburg, Russia
来源：
INTERNATIONAL CONFERENCE PHYSICA.SPB/2018 | 2018年 / 1135卷
关键词：
D O I：
10.1088/1742-6596/1135/1/012014
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The possibilities of machine learning methods and artificial neural networks use to solve problems of blind ECG cardiocycles clustering were explored. An algorithm for ECG cardiocycles clustering is based on the Kohonen neural network and k-means method is developed. The proposed algorithm is evaluated on annotated standard database MGH/MF waveform database. The accuracy indicators of this algorithm is Acc - 96,92%. This algorithm can be used as the basis for ECG diagnostic software.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] ECG based authentication using Autocorrelation and Artificial Neural Networks
    Dhanush, M.
    Jain, Ashish
    Moulyashree, S. C.
    Melkot, Aaneesh
    Manjula, A., V
    2016 INTERNATIONAL CONFERENCE ON COMPUTING, ANALYTICS AND SECURITY TRENDS (CAST), 2016, : 238 - 243
  • [2] ECG beat classification with synaptic delay based artificial neural networks
    Duro, RJ
    Santos, J
    BIOLOGICAL AND ARTIFICIAL COMPUTATION: FROM NEUROSCIENCE TO TECHNOLOGY, 1997, 1240 : 962 - 970
  • [3] Artificial neural networks for automatic ECG analysis
    Silipo, R
    Marchesi, C
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (05) : 1417 - 1425
  • [4] Protein sequence for clustering DNA based on Artificial Neural Networks
    Elhadi, Gamal F.
    Farouk, R.M.
    Issa, Abdalhakeem T.
    International Journal of Computer Science Issues, 2012, 9 (1 1-3): : 161 - 167
  • [5] Using a clustering genetic algorithm for rule extraction from artificial neural networks
    Hruschka, ER
    Ebecken, NFF
    2000 IEEE SYMPOSIUM ON COMBINATIONS OF EVOLUTIONARY COMPUTATION AND NEURAL NETWORKS, 2000, : 199 - 206
  • [6] Fingerprinting Localization Based on Affinity Propagation Clustering and Artificial Neural Networks
    Ding, Genming
    Tan, Zhenhui
    Zhang, Jinbao
    Zhang, Lingwen
    2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2013, : 2317 - 2322
  • [7] A clustering approach based on artificial neural networks to solve routing problems
    Masutti, Thiago A. S.
    de Castro, Leandro N.
    CSE 2008:11TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, PROCEEDINGS, 2008, : 285 - 292
  • [8] AUTOMATIC CLASSIFICATION OF ECG USING ARTIFICIAL NEURAL NETWORKS
    Chinese Journal of Biomedical Engineering, 1996, (03) : 135 - 138
  • [9] ARTIFICIAL NEURAL NETWORKS AND ECG INTERPRETATION - USE AND ABUSE
    DASSEN, WRM
    MULLENEERS, RGA
    DENDULK, K
    TALMON, JL
    JOURNAL OF ELECTROCARDIOLOGY, 1993, 26 : 61 - 65
  • [10] A recognition of ECG arrhythmias using artificial neural networks
    Özbay, Y
    Karlik, B
    PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE, 2001, 23 : 1680 - 1683
12345