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
fDate :
Aug. 31 2010-Sept. 4 2010
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627537