• DocumentCode
    710942
  • Title

    On the detection of independent finger movements through two forearm myoelectrodes

  • Author

    Steele, P. ; Brooks, J. ; Gomes, N. ; Sun, Y. ; Chabot, E.

  • Author_Institution
    Univ. of Rhode Island, Kingston, RI, USA
  • fYear
    2015
  • fDate
    17-19 April 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This study analyses forearm muscle contractions that occur during movements of individual fingers. An amplitude threshold is implemented on the multiplied backwards difference (MOBD) of the signal to determine when a muscle contraction occurs, and is followed by a windowed variance threshold of the MOBD to determine which finger contracted. The purpose is to create a low-cost, computationally efficient method to determine specific finger contractions from the forearm. This method was able to differentiate the ring finger from the other fingers, which in comparison had a variance approximately ten times higher.
  • Keywords
    biomedical electrodes; electromyography; medical signal processing; amplitude threshold; forearm muscle contractions; forearm myoelectrodes; independent finger movement detection; individual finger movements; low-cost computationally efficient method; multiplied backwards difference; muscle contraction; windowed variance threshold; Algorithm design and analysis; Electrodes; Electromyography; Fingers; Indexes; Muscles; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
  • Conference_Location
    Troy, NY
  • Print_ISBN
    978-1-4799-8358-2
  • Type

    conf

  • DOI
    10.1109/NEBEC.2015.7117220
  • Filename
    7117220