| Upper Extremity Proprioceptive Assessment Test Using Virtual Environment Technique in Patients with Stroke. |
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Lee, Ki Hoon , Ku, Jeounghun , Jo, Sang Woo , Kim, Sun I , Song, Je Young , Park, Young Jin , Kim, Hyun Jung , Kang, Youn Joo |
1Department of Rehabilitation Medicine, Eulji Hospital, Eulji University School of Medicine, Korea. md52516@eulji.ac.kr
2Department of Biomedical Engineering, Hanyang University, Korea. |
| 뇌졸중 환자에서 가상환경기술을 이용한 상지의 고유수용감각 평가 |
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이기훈, 구정훈1, 조상우1, 김선일1, 송제영, 박영진, 김현정, 강윤주 |
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을지대학교 의과대학 을지병원 재활의학교실, 1한양대학교 의용생체공학과 |
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| Abstract |
Objective
To examine the reliability of upper extremity proprioceptive assessment test using virtual environment technique (VET) in patients with stroke with test-retest paradigm and define criterion for normal value by comparing with unimpaired control group.
Method
Thirty stroke patients and 30 control groups were recruited. The VET apparatus is consisted of virtual reality upper extremity tester (VRUPT), encoder, and head-mounted display (HMD). VET-based test is composed of two tasks. Angle assessment task is required matching of imposed joint positions without visual feedback for checking angle error. Reaching assessment task is required matching of imposed cylinder with visual feedback for checking time, number of click, total interaction error.
Results
In the test-retest analysis, correlation coefficients ranged from 0.73 to 0.99 (p＜0.01). Significant differences consistently found between affected upper extremity joint of stroke group and corresponding upper extremity joint of control group for the major variables (p＜0.05). The cut off value in shoulder, elbow, wrist joints were calculated as 8.24o, 8.41o, 10.31o and the frequency of proprioceptive abnormalities based on these cut off value of angle error in shoulder, elbow, wrist joints showed 60%, 67%, 83% respectively, in our stroke group.
Conclusion
This VET-based proprioceptive assessment test shows promise in assessing proprioception in patients with stroke more objectively and quantitatively. (J Korean Acad Rehab Med 2010; 34: 141-149) |
| Key Words:
Proprioception, Virtual environment technology, Stroke, Reliability, Upper extremity |
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