IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v40y2013i6p1319-1332.html
   My bibliography  Save this article

Detecting and removing outlier(s) in electromyographic gait-related patterns

Author

Listed:
  • Miler Jerkovic Vera
  • Bojanic Dubravka
  • Jorgovanovic Nikola
  • Ilic Vojin
  • Petrovacki-Balj Bojana

Abstract

In this paper, we propose a method for outlier detection and removal in electromyographic gait-related patterns (EMG-GRPs). The goal was to detect and remove EMG-GRPs that reduce the quality of gait data while preserving natural biological variations in EMG-GRPs. The proposed procedure consists of general statistical tests and is simple to use. The Friedman test with multiple comparisons was used to find particular EMG-GRPs that are extremely different from others. Next, outlying observations were calculated for each suspected stride waveform by applying the generalized extreme studentized deviate test. To complete the analysis, we applied different outlier criteria. The results suggest that an EMG-GRP is an outlier if it differs from at least 50% of the other stride waveforms and contains at least 20% of the outlying observations. The EMG signal remains a realistic representation of muscle activity and demonstrates step-by-step variability once the outliers, as defined here, are removed.

Suggested Citation

  • Miler Jerkovic Vera & Bojanic Dubravka & Jorgovanovic Nikola & Ilic Vojin & Petrovacki-Balj Bojana, 2013. "Detecting and removing outlier(s) in electromyographic gait-related patterns," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(6), pages 1319-1332, June.
    • Handle: RePEc:taf:japsta:v:40:y:2013:i:6:p:1319-1332
    DOI: 10.1080/02664763.2013.785495
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2013.785495
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2013.785495?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.

    More about this item

    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:taf:japsta:v:40:y:2013:i:6:p:1319-1332. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.