• DocumentCode
    1346764
  • Title

    Control of Hand Prostheses Using Peripheral Information

  • Author

    Micera, Silvestro ; Carpaneto, Jacopo ; Raspopovic, Stanisa

  • Author_Institution
    ARTS Lab., Scuola Superiore Sant´´Anna, Pisa, Italy
  • Volume
    3
  • fYear
    2010
  • fDate
    7/2/1905 12:00:00 AM
  • Firstpage
    48
  • Lastpage
    68
  • Abstract
    Several efforts have been carried out to enhance dexterous hand prosthesis control by impaired individuals. Choosing which voluntary signal to use for control purposes is a critical element to achieve this goal. This review presents and discusses the recent results achieved by using electromyographic signals, recorded either with surface (sEMG) or intramuscular (iEMG) electrodes, and electroneurographic (ENG) signals. The potential benefits and shortcomings of the different approaches are described with a particular attention to the definition of all the steps required to achieve an effective hand prosthesis control in the different cases. Finally, a possible roadmap in the field is also presented.
  • Keywords
    biomedical electrodes; electromyography; medical computing; medical control systems; medical signal processing; neurophysiology; prosthetics; dexterous hand prosthesis control; electromyographic signal; electroneurographic signal; intramuscular EMG electrodes; peripheral information; surface EMG electrodes; voluntary signal; Electrodes; Electromyography; Feature extraction; Muscles; Prosthetics; Sensors; Switches; Cybernetic hand prostheses; electromyographic (EMG) signals; electroneurographic (ENG) signals; hybrid bionic systems; intraneural interfaces; sensory feedback; Algorithms; Artificial Limbs; Electrodes; Electromyography; Hand; Humans; Muscle, Skeletal;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Reviews in
  • Publisher
    ieee
  • ISSN
    1937-3333
  • Type

    jour

  • DOI
    10.1109/RBME.2010.2085429
  • Filename
    5598519