• DocumentCode
    1721663
  • Title

    EEG feedback training for upper-limb rehabilitation

  • Author

    Viriyasaksathian, Boonyarat ; Khemmachotikun, Sarawin ; Puanhvuan, Dilok ; Kaimuk, Panya ; Wongsawat, Yodchanan

  • Author_Institution
    Dept. of Biomed. Eng., Mahidol Univ., Nakorn Pathom, Thailand
  • fYear
    2011
  • Firstpage
    1567
  • Lastpage
    1572
  • Abstract
    One benefit of using biofeedback treatment in stroke rehabilitation is the efficiency assistant for the patients to relearn to control their own bodies by themselves as well as encourages them to pay attention during rehabilitation process and improves their morale. This article proposes biofeedback system for upper-limb stroke rehabilitation that supports both planar and anti-gravity. The prototype system combines passive modalities with the active exercise to help patient relearn to control their joints in shoulder and muscles as much as possible. Electroencephalogram (EEG) based on ERD/ERS phenomena are employed to control our homemade prototype hardware for rehabilitation exercise. With our simple algorithm, the maximum of 96% accuracy can be obtained. Approximately 80% of the average classification accuracy can be achieved.
  • Keywords
    computer based training; electroencephalography; handicapped aids; human computer interaction; human factors; medical signal processing; patient rehabilitation; EEG feedback training; ERD-ERS phenomena; biofeedback treatment; electroencephalogram; morale improvement; rehabilitation exercise; upper-limb stroke rehabilitation; Biological control systems; DC motors; Electrodes; Electroencephalography; Hardware; Muscles; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on
  • Conference_Location
    Karon Beach, Phuket
  • Print_ISBN
    978-1-4577-2136-6
  • Type

    conf

  • DOI
    10.1109/ROBIO.2011.6181512
  • Filename
    6181512