• DocumentCode
    627987
  • Title

    Determining Strength of Muscle Contraction Using Electromyogram

  • Author

    Abbate, Kaitlin ; Franklin, Thomas ; Rosenberger, Maik ; Chabot, Eugene ; Ying Sun

  • Author_Institution
    Dept. of Electr., Comput., & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
  • fYear
    2013
  • fDate
    5-7 April 2013
  • Firstpage
    267
  • Lastpage
    268
  • Abstract
    The purpose of this study is to detect forearm muscle contraction strength through use of electromyographic signals. Using a C coding software program, an algorithm is established to first detect an electromyographic signal and then to determine the strength of contraction of the muscle. A PIC microprocessor and printed circuit board (PCB) are also used to implement this task. Specifically, the amplitude of each contraction is studied to determine a weak, medium, or strong contraction type. This system can be used towards making objects (such as a wheelchair) move with different accelerations based on the strength of contraction of some muscle on the body.
  • Keywords
    biomechanics; biomedical electronics; electromyography; medical signal detection; microprocessor chips; printed circuits; C coding software program; PCB; PIC microprocessor; acceleration; electromyographic signal detection; forearm muscle contraction strength; printed circuit board; wheelchair; Acceleration; Biomedical engineering; Force; Light emitting diodes; Muscles; Sun; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
  • Conference_Location
    Syracuse, NY
  • ISSN
    2160-7001
  • Print_ISBN
    978-1-4673-4928-4
  • Type

    conf

  • DOI
    10.1109/NEBEC.2013.17
  • Filename
    6574461