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A novel automatic detection system for ECG arrhythmias using maximum margin clustering with immune evolutionary algorithm

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Publication:382600
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DOI10.1155/2013/453402zbMath1275.92071OpenAlexW2032015553WikidataQ36838360 ScholiaQ36838360MaRDI QIDQ382600

Bohui Zhu, Yong-Sheng Ding, Kuang-Rong Hao

Publication date: 21 November 2013

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/453402


Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10)




Cites Work

  • A hybrid quantum-inspired immune algorithm for multiobjective optimization
  • Detection of ECG arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine
  • Improved immune algorithm for global numerical optimization and job-shop scheduling problems
  • A patient adaptable ECG beat classifier based on neural networks
  • Classification of heart rate data using artificial neural network and fuzzy equivalence relation
  • Target coverage optimisation of wireless sensor networks using a multi-objective immune co-evolutionary algorithm
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