• DocumentCode
    2487855
  • Title

    Wearable EMG analysis for Rehabilitation (WEAR) - Surface electromyography in clinical gait analysis

  • Author

    Freed, Adam ; Chan, Adrian D C ; Lemaire, Edward D. ; Parush, Avi

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2011
  • fDate
    30-31 May 2011
  • Firstpage
    601
  • Lastpage
    604
  • Abstract
    This paper presents a new wearable electromyography (EMG) monitoring approach for gait analysis known as the Wearable EMG Analysis for Rehabilitation (WEAR) system. Conventional EMG acquisition uses single electrode pairs positioned above the muscle of interest, based on anatomical measurements. WEAR employs a dry electrode array, integrated in a wearable sleeve, which is quicker and easier to apply than the electrodes in a conventional system. An optimal electrode pair is automatically selected from the array, thus saving time and inherent cost. The WEAR system will be tested on 10 able-bodied subjects for intra-system repeatability, as well as direct comparison to outcomes from conventional surface EMG tests on the same set of participants.
  • Keywords
    biomedical electrodes; electromyography; gait analysis; patient rehabilitation; EMG; WEAR; clinical gait analysis; electrode array; surface electromyography; wearable EMG analysis for rehabilitation; Arrays; Biomedical monitoring; Electrodes; Electromyography; Muscles; Skin; USA Councils; Electrodes; electromyography; gait analysis; myoelectric signals; wearable mobility monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-9336-4
  • Type

    conf

  • DOI
    10.1109/MeMeA.2011.5966728
  • Filename
    5966728