• DocumentCode
    3586915
  • Title

    Force estimation by surface electromyography during functional electrical stimulation

  • Author

    Shimizu, Yuki ; Sugi, Masao ; Ohdaira, Misato ; Morishita, Soichiro ; Nakamura, Tatsuhiro ; Kato, Ryu ; Yokoi, Hiroshi

  • Author_Institution
    Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2014
  • Firstpage
    1345
  • Lastpage
    1350
  • Abstract
    In recent years, a rehabilitation method in which a quadriplegic person can perform training without a therapist has been proposed, and studies that use functional electrical stimulation (FES) have been promoted. However, FES induces muscle contractions that tend to be stronger than voluntary contractions, and hence increases the muscle load too easily. Accordingly, the resultant excessive contractions induce early muscle fatigue. Therefore, the state of muscle fatigue must be determined to prevent injury during rehabilitation. Here we employed surface electromyography (SEMG) to estimate the muscle force. We confirmed that the estimation method in a previous study, which filters out noise due to FES, is applicable to SEMG signals during FES. Consequently, we suggest that the aforementioned estimation method may be used during FES.
  • Keywords
    biomechanics; electromyography; injuries; patient rehabilitation; FES; SEMG signal; force estimation; functional electrical stimulation; injury prevention; muscle contraction; muscle fatigue; patient rehabilitation; resultant excessive contraction; surface electromyography; Biomimetics; Conferences; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2014.7090520
  • Filename
    7090520