IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v337y2004i1p149-156.html
   My bibliography  Save this article

Evaluating age-related loss of nonlinearity degree in short-term heartbeat series by optimum modeling dimension

Author

Listed:
  • Bian, Chunhua
  • Ning, Xinbao

Abstract

Detecting the alterations of nonlinearity in short-term heartbeat dynamics has got the realistic meaning. The paper first studies some short nonlinear series by predicting the series with a nonlinear autoregressive model. Then inspired by the fact that the optimum modeling dimension of the model can characterize the intrinsic dimensional feature of the dynamics, the paper presents a new idea that the optimum modeling dimension can be taken to evaluate the nonlinearity degree of the original dynamics. Finally, we apply this proposition to the heartbeat dynamics. We study the short-term heart interbeat interval series of a group of healthy subjects and have a comparison between the results of the young subjects and those of the old ones. We find that the optimum modeling dimensions of the old subjects are smaller than those of the young ones. It shows the nonlinearity degree decreases with aging.

Suggested Citation

  • Bian, Chunhua & Ning, Xinbao, 2004. "Evaluating age-related loss of nonlinearity degree in short-term heartbeat series by optimum modeling dimension," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 149-156.
    • Handle: RePEc:eee:phsmap:v:337:y:2004:i:1:p:149-156
    DOI: 10.1016/j.physa.2004.01.040
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437104001232
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2004.01.040?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaksic, Vesna & Mandic, Danilo P. & Karoumi, Raid & Basu, Bidroha & Pakrashi, Vikram, 2016. "Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 100-120.

    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:eee:phsmap:v:337:y:2004:i:1:p:149-156. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.