IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i19p2964-d1484786.html
   My bibliography  Save this article

Stochastic Phase Model with Reflective Boundary and Induced Beating: An Approach for Cardiac Muscle Cells

Author

Listed:
  • Guanyu Zhou

    (Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Tatsuya Hayashi

    (Faculty of Science and Engineering, Yamato University, Osaka 564-0082, Japan
    Research and Development Initiative, Chuo University, Tokyo 192-0393, Japan)

  • Tetsuji Tokihiro

    (Department of Mathematical Engineering, Faculty of Engineering, Musashino University, Tokyo 135-8181, Japan)

Abstract

We examine stochastic phase models for the community effect of cardiac muscle cells. Our model extends the stochastic integrate-and-fire model by incorporating irreversibility after beating, induced beating, and refractoriness. We focus on investigating the expectation and variance in the synchronized beating interval. Specifically, for a single isolated cell, we obtain the closed-form expectation and variance in the beating interval, discovering that the coefficient of variation has an upper limit of 2 / 3 . For two coupled cells, we derive the partial differential equations for the expected synchronized beating intervals and the distribution density of phases. Furthermore, we consider the conventional Kuramoto model for both two- and N -cell models. We establish a new analysis using stochastic calculus to obtain the coefficient of variation in the synchronized beating interval, thereby improving upon existing literature.

Suggested Citation

  • Guanyu Zhou & Tatsuya Hayashi & Tetsuji Tokihiro, 2024. "Stochastic Phase Model with Reflective Boundary and Induced Beating: An Approach for Cardiac Muscle Cells," Mathematics, MDPI, vol. 12(19), pages 1-30, September.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:19:p:2964-:d:1484786
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/19/2964/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/19/2964/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:19:p:2964-:d:1484786. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.