• DocumentCode
    718347
  • Title

    Multimodal virtual reality platform for the rehabilitation of phantom limb pain

  • Author

    Wake, Naoki ; Sano, Yuko ; Oya, Reishi ; Sumitani, Masahiko ; Kumagaya, Shin-ichiro ; Kuniyoshi, Yasuo

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2015
  • fDate
    22-24 April 2015
  • Firstpage
    787
  • Lastpage
    790
  • Abstract
    Amputees usually perceive vivid awareness of their lost body parts after the amputation (phantom limbs). Phantom limb pain (PLP) is intense pain that is felt in the phantom limb. The mechanism of PLP is still unclear, but the major hypothesis is that it is derived from dysfunction of the brain. There are a few neurorehabilitation techniques using a mirror or virtual reality (VR) that present the visual image of a phantom limb to the patients, and this produce the movement perception of their phantom limb. Here, we developed a multimodal (visual, auditory, and tactile) VR system to obtain the perception of voluntary phantom limb movements. We applied this system to five PLP patients for three tactile feedback conditions as a pilot study. In conclusion, four of the five patients reported pain amelioration, up to 86% decrease in the tactile feedback condition. In addition, our results demonstrated that the best suited condition of feedback-sense modalities depends on the patient. These results suggest that this system can be applied to a rehabilitation platform to offer flexible neurorehabilitation regimens for each patient.
  • Keywords
    biomechanics; haptic interfaces; medical computing; neurophysiology; patient rehabilitation; phantoms; virtual reality; PLP; amelioration; amputation; amputees; auditory VR; brain dysfunction; feedback-sense modalities; movement perception; multimodal VR system; multimodal virtual reality platform; neurorehabilitation; phantom limb pain rehabilitation; tactile VR; tactile feedback; visual VR; voluntary phantom limb movements; Mirrors; Pain; Phantoms; Tactile sensors; Training; Vibrations; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
  • Conference_Location
    Montpellier
  • Type

    conf

  • DOI
    10.1109/NER.2015.7146741
  • Filename
    7146741