• DocumentCode
    2946627
  • Title

    Mixed reality rehabilitation for stroke survivors promotes generalized motor improvements

  • Author

    Duff, Margaret ; Chen, Yinpeng ; Attygalle, Suneth ; Sundaram, Hari ; Rikakis, Thanassis

  • Author_Institution
    Sch. of Biol. & Health Syst. Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    5899
  • Lastpage
    5902
  • Abstract
    This paper presents results from a clinical study of stroke survivors using an adaptive, mixed-reality rehabilitation (AMRR) system for reach and grasp therapy. The AMRR therapy provides audio and visual feedback on the therapy task, based on detailed motion capture, that places the movement in an abstract, artistic context. This type of environment promotes the generalizability of movement strategies, which is shown through kinematic improvements on an untrained reaching task and higher clinical scale scores, in addition to kinematic improvements in the trained task.
  • Keywords
    biomechanics; biomedical optical imaging; feedback; kinematics; medical image processing; patient rehabilitation; adaptive mixed reality rehabilitation; audio feedback; detailed motion capture; generalized motor improvements; grasp therapy; kinematic improvements; reach therapy; stroke survivors; visual feedback; Adaptive systems; Frequency modulation; Kinematics; Medical treatment; Training; Virtual reality; Visualization; Aged; Aged, 80 and over; Biomechanics; Demography; Female; Humans; Male; Middle Aged; Motor Activity; Stroke; Survivors; Task Performance and Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627537
  • Filename
    5627537