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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
1162-1167

Algorithm for simulating cardiac rhythm based on deep learning and its application

Long Po1
Chen Hao2
He Jing1
He Kun3
1. College of Software, Changsha Social Work College, Changsha 410004, China
2. College of Computer Science & Electronic Engineering, Hunan University, Changsha 410006, China
3. Dept. of High Voltage, China Electric Power Research Institute, Beijing 100192, China
DOI: 10.19734/j.issn.1001-3695.2021.10.0420

Abstract

The study heartbeat model based on Van der Pol equation is beneficial to heartbeat control and offering therapy guidance of cardiac diseaes such as arrhythmia. To cope with the issue that the timescale of the solutions produced by Van der Pol equation is different from those of real living beings, this paper introduced a timescale parameter into the Van der Pol equation. To solve the problem of numerical simulation of rhythm model, this paper proposed a deep neural network algorithm. To avoid spurious solutions caused by existing neural network algorithms, this paper proposed a new sampling strategy to construct training data sets. To further improve the accuracy, this paper introduced an adaptive sampling means into the proposed sampling strategy. This paper conducted numerical experiments and compared numerical solutions given by Runge-Kutta method with results of the proposed method. The results show that the maximum mean error of the proposed method is below 0.3%. Furthermore, this paper employed the deep neural network method to simulate the action potential of the cardiac pacemaker cell. The results show that the proposed method can simulate the action potential fairly well.

Foundation Support

国家自然科学基金资助项目(61772190)
湖南省教育厅科学研究项目(20C0092)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0420
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: System Development & Application
Pages: 1162-1167
Serial Number: 1001-3695(2022)04-034-1162-06

Publish History

[2021-12-07] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

龙坡, 陈浩, 何晶, 等. 基于深度学习的心律模拟算法及其应用 [J]. 计算机应用研究, 2022, 39 (4): 1162-1167. (Long Po, Chen Hao, He Jing, et al. Algorithm for simulating cardiac rhythm based on deep learning and its application [J]. Application Research of Computers, 2022, 39 (4): 1162-1167. )

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.

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