• DocumentCode
    2025947
  • Title

    Brain-computer interface for stroke rehabilitation with clinical studies

  • Author

    Guan, Chunying

  • Author_Institution
    Brain-Comput. Interface Lab. Inst. for Infocomm Res., A*STAR, Singapore, Singapore
  • fYear
    2013
  • fDate
    18-20 Feb. 2013
  • Firstpage
    4
  • Lastpage
    5
  • Abstract
    Summary form only given. Stroke is the leading cause of severe disabilities in the developed world. Each year, there are around 15 million new stroke cases worldwide. About 30% of stroke survivors need various forms of rehabilitation. Among these, upper limb weakness and loss of hand function are among the most devastating types of disabilities. Despite optimal acute medical treatment and modern rehabilitation, 45% of the patients do not achieve complete recovery of their bodily functions. In addition, 85% to 90% of stroke survivors with upper limb impairment do not regain full functional use of their upper extremities. Limitations in current physiotherapy and occupational therapy techniques include: (i) difficulties in rehabilitation for the severely paralyzed arm and hand which are often treated with passive modalities, (ii) difficulties in achieving intensive rehabilitation and high repetitions in those with moderate to severe upper extremity paralysis, (iii) problems in motivating and sustaining patient interest in repetitive exercises, (iv) therapy is often perceived to be boring due to lack of immediate biofeedback.
  • Keywords
    biomedical MRI; brain-computer interfaces; medical image processing; patient rehabilitation; DTI image; biofeedback; brain-computer interface; fMRI study; functional magnetic resonance imaging; hand function disability; medical rehabilitation; medical treatment; occupational therapy technique; physiotherapy technique; stroke rehabilitation; upper extremity paralysis; upper limb weakness disability; Brain-computer interfaces; Conferences; DC motors; Electroencephalography; Medical treatment; Motor drives; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Brain-Computer Interface (BCI), 2013 International Winter Workshop on
  • Conference_Location
    Gangwo
  • Print_ISBN
    978-1-4673-5973-3
  • Type

    conf

  • DOI
    10.1109/IWW-BCI.2013.6506607
  • Filename
    6506607