| An adaptive mixed reality training system for stroke rehabilitation. | |
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MedLine Citation:
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PMID: 20934938 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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This paper presents a novel mixed reality rehabilitation system used to help improve the reaching movements of people who have hemiparesis from stroke. The system provides real-time, multimodal, customizable, and adaptive feedback generated from the movement patterns of the subject's affected arm and torso during reaching to grasp. The feedback is provided via innovative visual and musical forms that present a stimulating, enriched environment in which to train the subjects and promote multimodal sensory-motor integration. A pilot study was conducted to test the system function, adaptation protocol and its feasibility for stroke rehabilitation. Three chronic stroke survivors underwent training using our system for six 75-min sessions over two weeks. After this relatively short time, all three subjects showed significant improvements in the movement parameters that were targeted during training. Improvements included faster and smoother reaches, increased joint coordination and reduced compensatory use of the torso and shoulder. The system was accepted by the subjects and shows promise as a useful tool for physical and occupational therapists to enhance stroke rehabilitation. |
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Authors:
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Margaret Duff; Yinpeng Chen; Suneth Attygalle; Janice Herman; Hari Sundaram; Gang Qian; Jiping He; Thanassis Rikakis |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Volume: 18 ISSN: 1558-0210 ISO Abbreviation: IEEE Trans Neural Syst Rehabil Eng Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-10-11 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101097023 Medline TA: IEEE Trans Neural Syst Rehabil Eng Country: United States |
Other Details:
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Languages: eng Pagination: 531-41 Citation Subset: IM |
Affiliation:
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School of Arts, Media and Engineering and School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA. mrduff@asu.edu |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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