• DocumentCode
    2920400
  • Title

    Toward improved sensorimotor integration and learning using upper-limb prosthetic devices

  • Author

    Gillespie, R. Brent ; Contreras-Vidal, Jose Luis ; Shewokis, Patricia A. ; O´Malley, Marcia K. ; Brown, Jeremy D. ; Agashe, Harshavardhan ; Gentili, Rodolphe ; Davis, Alicia

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    5077
  • Lastpage
    5080
  • Abstract
    To harness the increased dexterity and sensing capabilities in advanced prosthetic device designs, amputees will require interfaces supported by novel forms of sensory feedback and novel control paradigms. We are using a motorized elbow brace to feed back grasp forces to the user in the form of extension torques about the elbow. This force display complements myoelectric control of grip closure in which EMG signals are drawn from the biceps muscle. We expect that the action/reaction coupling experienced by the biceps muscle will produce an intuitive paradigm for object manipulation, and we hope to uncover neural correlates to support this hypothesis. In this paper we present results from an experiment in which 7 able-bodied persons attempted to distinguish three objects by stiffness while grasping them under myoelectric control and feeling reaction forces displayed to their elbow. In four conditions (with and without force display, and using biceps myoelectric signals ipsilateral and contralateral to the force display,) ability to correctly identify objects was significantly increased with sensory feedback.
  • Keywords
    biomechanics; electromyography; grippers; haptic interfaces; medical robotics; neurophysiology; prosthetics; EMG; action-reaction coupling; biceps muscle; exoskeleton device; grasp forces; gripper device; motorized elbow brace; myoelectric control; reaction forces; sensorimotor integration; sensorimotor learning; sensory feedback; stiffness; upper-limb prosthetic devices; Elbow; Electroencephalography; Electromyography; Force; Force feedback; Grippers; Prosthetics; Artificial Limbs; Brain Mapping; Elbow Joint; Electromyography; Feedback, Sensory; Hand Strength; Humans; Learning; Prosthesis Design; Upper Extremity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5626206
  • Filename
    5626206