IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v92y2019i7d10.1140_epjb_e2019-90737-2.html
   My bibliography  Save this article

Quantifying postural sway dynamics using burstiness and interevent time distributions

Author

Listed:
  • Sergio Picoli

    (Departamento de Física and National Institute of Science and Technology for Complex Systems, Universidade Estadual de Maringá)

  • Edenize S. D. Santos

    (Departamento Acadêmico de Física, Universidade Tecnológica Federal do Paraná)

  • Pedro P. Deprá

    (Departamento de Educação Física, Laboratory of Biomechanics and Motor Behaviour, Universidade Estadual de Maringá)

  • Renio S. Mendes

    (Departamento de Física and National Institute of Science and Technology for Complex Systems, Universidade Estadual de Maringá)

Abstract

We propose an approach for analysing the dynamics of human postural sway using measures applied to study inhomogeneous temporal processes. Basically, we defined zero-crossings of center of pressure (COP) trajectories as events, obtained the sequence of interevent times and investigated the mean interevent time, the burstiness coefficient and the full functional form of the interevent time distribution. We applied this approach to data obtained for healthy young adults during quiet standing, under bipedal and unipedal conditions. We found that the proposed COP-based measures are able to detect differences between bipedal and unipedal postural sway temporal patterns, including the presence (or absence) of burstiness. We discussed the potential of this analysis to quantify temporal patterns of postural sway. Graphical abstract

Suggested Citation

  • Sergio Picoli & Edenize S. D. Santos & Pedro P. Deprá & Renio S. Mendes, 2019. "Quantifying postural sway dynamics using burstiness and interevent time distributions," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 92(7), pages 1-5, July.
    • Handle: RePEc:spr:eurphb:v:92:y:2019:i:7:d:10.1140_epjb_e2019-90737-2
    DOI: 10.1140/epjb/e2019-90737-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/e2019-90737-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1140/epjb/e2019-90737-2?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. Picoli, Sergio & Bombo, Giorgio & Santos, Edenize S.D. & Deprá, Pedro P. & Mendes, Renio S., 2022. "Characterizing postural sway signals by the analysis of zero-crossing patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).

    More about this item

    Keywords

    Statistical and Nonlinear Physics;

    Statistics

    Access and download statistics

    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:spr:eurphb:v:92:y:2019:i:7:d:10.1140_epjb_e2019-90737-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.