• DocumentCode
    2274141
  • Title

    Comparison between two control algorithms for EMG-based navigation

  • Author

    LaBarge, Erin ; Fortunati, Jonathan ; Sullivan, Meaghan ; Bartels, Nathan ; Zhang, Ronald ; Sun, Ying

  • Author_Institution
    Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
  • fYear
    2010
  • fDate
    26-28 March 2010
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    The purpose of this study was to develop and compare two control algorithms that could potentially utilize two channels of surface electromyogram (EMG) to navigate electromechanical devices such as a powered wheelchair in all directions, i.e. forward (F), backward (B), right (R), and left (L). The first algorithm uses a non-timed muscle twitch to change between six modes (F, B, FR, FL, BR and BL), while the second algorithm uses a quick-timed twitch to switch between two modes (F and B). The second portion of this study consisted of acquiring EMG signals from the muscles of the forearm through a simple instrumentation circuit. The study was focused on evaluating the effectiveness of the controlling schemes. While the second algorithm offered faster manipulations, the first algorithm was more reliable and resulted in fewer collisions.
  • Keywords
    electromyography; handicapped aids; medical control systems; wheelchairs; control algorithms; electromechanical devices; instrumentation circuit; nontimed muscle; powered wheelchair; quick-timed twitch; surface electromyogram; Circuits; Electromechanical devices; Electromyography; Hardware; Instruments; Microcontrollers; Muscles; Navigation; Software algorithms; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4244-6879-9
  • Type

    conf

  • DOI
    10.1109/NEBC.2010.5458223
  • Filename
    5458223