• DocumentCode
    42183
  • Title

    Restoring Sensory Feedback Enables Real-Time Control of Prosthetic Hand [From the Field]

  • Author

    Guglielmelli, Eugenio

  • Volume
    21
  • Issue
    2
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    88
  • Lastpage
    89
  • Abstract
    The experimentation also highlighted the importance of reactivating tactile feedback to enable the patient to use the robotic prosthesis with dexterity. On 5 February 2013, the results of the second major experimental step of the LifeHand project were unveiled in conjunction with the publication of a related research article in the international journal Science Translational Medicine [1]. The work is coauthored by a group of Italian and other European research centers: 1) Scuola Superiore Sant´Anna, 2) Catholic University of Rome, 3) Campus Bio-Medico University of Rome, 4) IRCSS San Raffaele La Pisana, 5) EPFL-Switzerland, 6) University of Freiburg-Germany, and 7) Aalborg University-Denmark. LifeHand2 is the natural evolution of the research that led to the 2008 success of LifeHand1. The patient was an Italian-Brazilian national, Pierpaolo Petruzziello, who had undergone the exact same amputation (left arm immediately below the elbow) as Dennis Aabo Sørensen, the subject of this second experimentation. Starting from the demonstration of the possibility of restoring fine motor control capabilities in amputees by exploiting learning processes based on sensory feedback, it is expected that LifeHand2 can trigger many new research developments in the field of robotic prostheses and robot-based rehabilitation and assistive solutions.
  • Keywords
    manipulators; medical robotics; patient rehabilitation; prosthetics; real-time systems; LifeHand1 project; LifeHand2 project; learning processes; prosthetic hand; real-time control; robot-based rehabilitation; robotic prosthesis; sensory feedback restoration; tactile feedback reactivation; Control systems; Electrodes; Feedback; Haptic interfaces; Prosthetics; Real-time systems; Robot sensing systems;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2014.2314017
  • Filename
    6827306