Algorithm Research & Explore
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473-476

R-wave detection algorithm based on geometric morphology group characteristics

Liu Weia,b,c
Wang Linb,c
Li Runchuanb,c
She Weia,b,c
Jiang Jianyuc
a. School of Software, b. School of Information Engineering, c. Internet Medical & Health Service Henan Collaborative Innovation Center, Zhengzhou University, Zhengzhou 450000, China

Abstract

For the R-wave detection problem, this paper proposed an R-wave detection algorithm based on geometric group features. Firstly, the algorithm preprocessed the ECG signal with the filter bank. Then, it calculated geometric eigenvalues by means of signal processing giving consideration to both overall and local, and used the three geometric eigenvalues in the group to detect the R-wave. Finally, it adopted MIT-BIH standard arrhythmia database to test and verify this algorithm. The experimental results show that the error detection rate of the algorithm for R-wave detection is 1.07%, the sensitivity is 99.38%, the accuracy rate is 99.61%, and the precision rate is 98.99%.

Foundation Support

河南省基础与前沿技术研究基金资助项目(152300410047)
河南省高等学校重点科研基金资助项目(15A520028)
郑州大学研究生核心学位课程资助项目(YJSXWKC201540)
赛尔网络下一代互联网技术创新资助项目(NGII20160705)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0549
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 473-476
Serial Number: 1001-3695(2020)02-033-0473-04

Publish History

[2020-02-05] Printed Article

Cite This Article

刘炜, 王林, 李润川, 等. 基于几何形态群组特征的R波检测算法 [J]. 计算机应用研究, 2020, 37 (2): 473-476. (Liu Wei, Wang Lin, Li Runchuan, et al. R-wave detection algorithm based on geometric morphology group characteristics [J]. Application Research of Computers, 2020, 37 (2): 473-476. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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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.

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