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- Sean P. Dukelow
- University of Calgary, Calgary, Alberta, Canada
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- Troy M. Herter
- Queen's University, Kingston, Ontario, Canada
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- Kimberly D. Moore
- Queen's University, Kingston, Ontario, Canada
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- Mary Jo Demers
- Providence Care, St Mary's of the Lake Hospital, Kingston, Ontario, Canada
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- Janice I. Glasgow
- Queen's University, Kingston, Ontario, Canada
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- Stephen D. Bagg
- Queen's University, Kingston, Ontario, Canada, Providence Care, St Mary's of the Lake Hospital, Kingston, Ontario, Canada
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- Kathleen E. Norman
- Queen's University, Kingston, Ontario, Canada
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- Stephen H. Scott
- Queen's University, Kingston, Ontario, Canada,
書誌事項
- 公開日
- 2009-09-30
- 権利情報
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- https://journals.sagepub.com/page/policies/text-and-data-mining-license
- DOI
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- 10.1177/1545968309345267
- 公開者
- SAGE Publications
この論文をさがす
説明
<jats:p>Background. Impairment of position sense of the upper extremity (UE) may impede activities of daily living and limit motor gains after stroke. Most clinical assessments of position sense rely on categorical or ordinal ratings by clinicians that lack sensitivity to change or the ability to discriminate subtle deficits. Objective. Use robotic technology to develop a reliable, quantitative technique with a continuous scale to assess UE position sense following stroke. Methods. Forty-five patients recruited from an inpatient stroke rehabilitation service and 65 age-matched healthy controls performed an arm position matching task. Each UE was fitted in the exoskeleton of a KINARM device. One UE was passively placed in one of 9 positions, and the subject was told to match his or her position with the other UE. Patients were compared with statistical distributions of control data to identify those with deficits in UE position sense. Test—retest sessions using 2 raters established interrater reliability. Results. Two thirds of left hemiparetic and one third of right hemiparetic patients had deficits in limb position sense. Left-affected stroke subjects demonstrated significantly more trial-to-trial variability than right-affected or control subjects. The robotic assessment technique demonstrated good interrater reliability but limited agreement with the clinical thumb localizing test. Conclusions. Robotic technology can provide a reliable quantitative means to assess deficits in limb position sense following stroke.</jats:p>
収録刊行物
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- Neurorehabilitation and Neural Repair
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Neurorehabilitation and Neural Repair 24 (2), 178-187, 2009-09-30
SAGE Publications

