• DocumentCode
    139904
  • Title

    Promise of using surface EMG signals to volitionally control ankle joint position for powered transtibial prostheses

  • Author

    Baojun Chen ; Qining Wang ; Long Wang

  • Author_Institution
    Intell. Control Lab., Peking Univ., Beijing, China
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    2545
  • Lastpage
    2548
  • Abstract
    Improving the intuitiveness of the interaction between human and machine is an important issue for powered lower-limb prosthesis control. In this research, we aimed to evaluate the potential of using surface electromyography (EMG) signals measured from transtibial amputees´ residual muscles to directly control the position of prosthetic ankle. In this research, one transtibial amputee subject and five able-bodied subjects were recruited. They were asked to control a virtual ankle to reach different target positions. The amputee subject finished these tasks in an average time of 1.29 seconds for different target positions with the residual limb, which was comparable with that using the amputee´s sound limb and those with able-bodied subjects´ dominant legs. Due to human´s strong adaptability, the amputee subject was able to adapt to the control model trained one day before or trained in a posture which was different from that during performing control tasks. These results validate the promise of using surface EMG signals to volitionally control powered transtibial prostheses.
  • Keywords
    artificial limbs; biological tissues; biomechanics; electromyography; handicapped aids; medical computing; medical control systems; position control; training; virtual reality; able-bodied subject dominant legs; amputee sound limb; control model training; control task performance; direct prosthetic ankle position control; human adaptability; human-machine interaction intuitiveness; powered lower-limb prosthesis control; powered transtibial prosthesis; surface EMG signals; surface electromyography signal; time 1 day; time 1.29 s; transtibial amputee residual muscle EMG; virtual ankle control; volitional ankle joint position control; Electromyography; Joints; Legged locomotion; Muscles; Prosthetics; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944141
  • Filename
    6944141