• DocumentCode
    627863
  • Title

    Detection of User Intent in Neurorehablitation Using a Commercial EEG Headset

  • Author

    Mishra, Anadi ; Foulds, Richard

  • Author_Institution
    Dept. of Biomed. Eng., New Jersey Inst. of Technol. Univ. Heights, Newark, NJ, USA
  • fYear
    2013
  • fDate
    5-7 April 2013
  • Firstpage
    21
  • Lastpage
    22
  • Abstract
    Neurorehabilitation has recently been augmented with the use of virtual reality and rehabilitation robotics. In each case a necessary condition for success is the linkage of user intent to the interventions. In many systems, some known volitional control must exist in order to synchronize the user intended movement with the therapeutic virtual or robotic movement. Individuals without such residual movements are unable to fully benefit from these therapies. This project demonstrates the feasibility of using a low cost, commercial EEG system with BCI2000 software [3] to access the imagined movement without the need for physical movement.
  • Keywords
    electroencephalography; medical robotics; motion control; neurophysiology; patient rehabilitation; synchronisation; virtual reality; BCI2000 software; commercial EEG Headset; neurorehabilitation; rehabilitation robotics; robotic movement; synchronization; therapeutic virtual movement; user intended movement; user intent detection; virtual reality; volitional control; Biomedical engineering; Electroencephalography; Headphones; Medical treatment; Robots; Synchronization; Training; Brain Computer Interface; Emotiv; Motor Cortex; Motor Imagination; User Intent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
  • Conference_Location
    Syracuse, NY
  • ISSN
    2160-7001
  • Print_ISBN
    978-1-4673-4928-4
  • Type

    conf

  • DOI
    10.1109/NEBEC.2013.14
  • Filename
    6574337