In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
Technology of Graphic & Image
|
940-943

Study on classification algorithm of arrhythmia signals based on machine learning

Liu Teng1
Tang Hong2
Zhang Shibing1,2
1. School of Electronics & Information, Nantong University, Nantong Jiangsu 226019, China
2. Nantong Research Institute for Advanced Communication Technologies, Nantong Jiangsu 226019, China

Abstract

Based on the data files provided by the MIT-BIH, this paper extracted the characteristic information of ECG signals by wavelet transform, and studied the classification and recognition of common signals. This paper mainly designed and implemented three classification algorithms based on softmax regression and neural network. Simulation experiments show that the training speed of a suitable neural network algorithm is faster. With fewer iterations, the accuracy rate of classification recognition is more than 90%.

Foundation Support

江苏省高等学校自然科学研究重大项目(17KJA540001)
南通大学—南通智能信息技术联合研究中心开放课题(KFKT2017B07)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0545
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Technology of Graphic & Image
Pages: 940-943
Serial Number: 1001-3695(2020)03-067-0940-04

Publish History

[2020-03-05] Printed Article

Cite This Article

刘腾, 唐虹, 张士兵. 基于机器学习的心律失常信号分类算法研究 [J]. 计算机应用研究, 2020, 37 (3): 940-943. (Liu Teng, Tang Hong, Zhang Shibing. Study on classification algorithm of arrhythmia signals based on machine learning [J]. Application Research of Computers, 2020, 37 (3): 940-943. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)