IDEAS home Printed from https://ideas.repec.org/a/wsi/fracta/v31y2023i03ns0218348x23500329.html
   My bibliography  Save this article

Complexity-Based Analysis Of Muscle Activation During Walking At Different Speeds

Author

Listed:
  • SRIDEVI SRIRAM

    (Centre for Computational Modelling, Chennai Institute of Technology, Tamil Nadu, India)

  • KARTHIKEYAN RAJAGOPAL

    (��Centre for Nonlinear Systems, Chennai Institute of Technology, Tamil Nadu, India‡Department of Electronics and Communications Engineering, University Centre for Research & Development, Chandigarh University, Mohali 140413, Punjab, India)

  • ONDREJ KREJCAR

    (�Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czechia¶Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia∥Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering, Technical University of Kosice, Slovakia)

  • ROBERT FRISCHER

    (�Institute of Technology and Business in Ceske Budejovice, Ceske Budejovice, Czechia)

  • HAMIDREZA NAMAZI

    (�Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czechia**School of Engineering, Monash University, Selangor, Malaysia)

Abstract

In this research, we investigated the effect of changes in walking speed on variations of the complexity of electromyogram (EMG) signals recorded from the right and left legs of subjects. We specifically employed fractal theory and approximate entropy to analyze the changes in the complexity of EMG signals recorded from 13 subjects walked at 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0 km/h on a flat surface. The results showed that by increasing of walking speed, the complexity of EMG signals decreases. The statistical analysis also indicated the significant effect of variations in walking speed on the variations of the complexity of EMG signals. This method analysis can be applied to other physiological signals of humans (e.g. electroencephalogram (EEG) signals) to investigate the effect of walking speed on other organs’ activations (e.g. brain).

Suggested Citation

  • Sridevi Sriram & Karthikeyan Rajagopal & Ondrej Krejcar & Robert Frischer & Hamidreza Namazi, 2023. "Complexity-Based Analysis Of Muscle Activation During Walking At Different Speeds," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(03), pages 1-9.
  • Handle: RePEc:wsi:fracta:v:31:y:2023:i:03:n:s0218348x23500329
    DOI: 10.1142/S0218348X23500329
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0218348X23500329
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0218348X23500329?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.

    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:wsi:fracta:v:31:y:2023:i:03:n:s0218348x23500329. 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: Tai Tone Lim (email available below). General contact details of provider: https://www.worldscientific.com/worldscinet/fractals .

    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.