• DocumentCode
    3683926
  • Title

    Robot-assisted training to improve proprioception does benefit from added vibro-tactile feedback

  • Author

    A. Cuppone;V. Squeri;M. Semprini;J. Konczak

  • Author_Institution
    RBCS Department of Istituto Italiano di Tecnologia, Genova, 3016163 Italy
  • fYear
    2015
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    Proprioception is central for motor control and its role must also be taken into account when designing motor rehabilitation training protocols. This is particularly important when dealing with motor deficits due to proprioceptive impairment such as peripheral sensory neuropathy. In these cases substituting or augmenting diminished proprioceptive sensory information might be beneficial for improving motor function. However it still remains to be understood how proprioceptive senses can be improved by training, how this would translate into motor improvement and whether additional sensory modalities during motor training contribute to the sensorimotor training process. This preliminary study investigated how proprioceptive/haptic training can be augmented by providing additional sensory information in the form of vibro-tactile feedback. We tested the acuity of the wrist proprioceptive position sense before and after robotic training in two groups of healthy subjects, one trained only with haptic feedback and one with haptic and vibro-tactile feedback. We found that only the group receiving the multimodal feedback significantly improved proprioceptive acuity. This study demonstrates that non-proprioceptive position feedback derived from another somatosensory modality is easily interpretable for humans and can contribute to an increased precision of joint position. The clinical implications of this finding will be outlined.
  • Keywords
    "Training","Haptic interfaces","Wrist","Joints","Robot sensing systems","Vibrations"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7318349
  • Filename
    7318349