• DocumentCode
    1825157
  • Title

    Two-channel real-time EMG control of a dexterous hand prosthesis

  • Author

    Matrone, G. ; Cipriani, Christian ; Carrozza, Maria ; Magenes, G.

  • Author_Institution
    Dept. of Comput. Eng. & Syst. Sci., Univ. of Pavia, Pavia, Italy
  • fYear
    2011
  • fDate
    April 27 2011-May 1 2011
  • Firstpage
    554
  • Lastpage
    557
  • Abstract
    In this paper a case study is introduced, which assesses the suitability of a newly conceived two-channel myoelectric controller for a multi-fingered hand prosthesis. A PCA-based approach, previously presented by the authors, has been employed to control in real-time an underactuated 16-degrees of freedom robotic hand. A volunteer able-bodied subject was enrolled in this case study to test the system, controlling the prosthesis by means of his forearm EMG signals collected by active surface electrodes and properly processed. Trials have shown that the subject was able to successfully operate the prosthetic hand while performing the three prehensile forms mostly used in daily living activities (i.e. power, precision and lateral grips) and stably grasping several different objects. The experiments demonstrate the possibility to develop a bio-inspired myoelectric hand prosthesis endowed with an intuitive and human-like control system. The validation of the PCA-based EMG controller will be carried on in the near future also with hand amputees.
  • Keywords
    biomedical electrodes; electromyography; medical robotics; medical signal processing; principal component analysis; prosthetics; PCA; active surface electrodes; bioinspired myoelectric hand prosthesis; dexterous hand prosthesis; grasping; hand amputees; human-like control system; intuitive control system; lateral grips; multifingered hand prosthesis; myoelectric controller; power; precision; robotic hand; two-channel real-time EMG control; Control systems; Electrodes; Electromyography; Fingers; Prosthetic hand; Wrist;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
  • Conference_Location
    Cancun
  • ISSN
    1948-3546
  • Print_ISBN
    978-1-4244-4140-2
  • Type

    conf

  • DOI
    10.1109/NER.2011.5910608
  • Filename
    5910608