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System Development & Application
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1505-1509

Classification of ECG signal based on adaptive multivariate multiscale entropy

Zhang Langfei
Li Shinan
Liang Zhuguan
Ding Hongwei
School of Information Science & Engineering, Yunnan University, Kunming 650500, China

Abstract

In order to solve the problems of low accuracy of single channel electrocardiogram signal identification and the complexity of multivariate nonlinear electrocardiogram signal analysis by existing multivariate decomposition methods, this paper proposed a classification method of ECG signals based on adaptive multiscale dispersion entropy. Firstly, it used spectrum analysis, innovatively introduced sinusoidal assisted multivariate empirical mode decomposition method to decompose ECG signals to obtain multivariate modal components. Then it combined the advantages of multi-mode decomposition and dispersion entropy, proposed an adaptive multi-scale dispersion entropy method to obtain the characteristic entropy value by adding multiple eigenmode components instead of coarse-grained sampling. Finally, the features were input to multiple classifiers for classification. The effectiveness of the proposed scheme is verified on analog signals and MIT-BIH data by experimental comparison and analysis.

Foundation Support

国家自然科学基金资助项目(61461054,61461053)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0450
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: System Development & Application
Pages: 1505-1509
Serial Number: 1001-3695(2022)05-037-1505-05

Publish History

[2021-12-22] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

张浪飞, 李诗楠, 梁竹关, 等. 基于自适应多元多尺度熵的心电信号分类研究 [J]. 计算机应用研究, 2022, 39 (5): 1505-1509. (Zhang Langfei, Li Shinan, Liang Zhuguan, et al. Classification of ECG signal based on adaptive multivariate multiscale entropy [J]. Application Research of Computers, 2022, 39 (5): 1505-1509. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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