• DocumentCode
    3723816
  • Title

    A wireless, smart EEG system for volitional control of lower-limb prosthesis

  • Author

    Ou Bai;Graham Kelly;Ding-Yu Fei;Douglas Murphy;John Fox;Brian Burkhardt;William Lovegreen;Javier Soars

  • Author_Institution
    Department of Electrical and Computer Engineering, Florida International University, Miami USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Smooth and convenient user control of prostheses is critical to restore motor and cognitive functions in amputees. This study aims to develop a smart system supporting volitional control of prostheses directly from user´ thought without any interface manipulation. An ultra-portable, wireless-enabled, and low powered device prototype was developed to amplify and process multi-channel electroencephalography (EEG) signals in real-time. Signal processing and machine learning algorithms were designed to decode user´s volition from EEG signals and subsequently to command prosthetic devices. A feasibility test was conducted on an amputee user with right leg amputation. Preliminary results showed that the amputee user was able to volitionally control a knee-locker installed on the prosthetic leg at a sensitive rate of 83.5% with zero false positive detections in real-time. Future study will be directed to support multifunctional, volitional control of robotic prostheses.
  • Keywords
    "Extremities","Robot sensing systems","Electroencephalography","Electrodes","Manuals","Switches"
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2015 - 2015 IEEE Region 10 Conference
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-8639-2
  • Electronic_ISBN
    2159-3450
  • Type

    conf

  • DOI
    10.1109/TENCON.2015.7373060
  • Filename
    7373060