| Abstract No.: | C-C3102 |
| Country: | Canada |
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| Title: | ROBOTIC ASSESSMENT OF ARM POSITION SENSE FOLLOWING STROKE |
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| Authors/Affiliations: | 1 Troy Herter*; 3 Sean Dukelow; 1 Kim Moore; 2 Mary Jo Demers; 1 Helen Bretzke; 3 Stephen Bagg; 1 Stephen Scott;
1 Queen’s University, Kingston, ON, Canada; 2 St. Mary’s of the Lake Hospital, Kingston, ON, Canada; 3 St. Mary’s of the Lake Hospital and Queen’s University, Kingston, ON, Canada
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| Content: | Objective: Clinical assessments are important for detecting sensory and motor deficits of stroke patients, but few objective, quantifiable, and reliable tests exist for evaluating limb position sense. To address this need, we have developed a novel test of arm position sense using robotic technology.
Materials and Methods: In this robotic assessment, while both arms are occluded from vision, one arm is passively moved by the robot to one of nine spatial locations in the horizontal plane and the patients are instructed to actively move their opposite arm to the mirror location in space. We quantified the spatial errors of forty stroke subjects and fifty age-matched controls using three objective, quantifiable measures: systematic shifts between expected and actual hand position, trial-to-trial variability, and distribution of hand positions across the nine spatial locations.
Results: Compared to control subjects, about half of stroke patients displayed larger systematic shifts, greater trial-to-trial variability, and/or decreases or increases in the spatial distribution of hand positions. Importantly, each measure demonstrated excellent inter-rater reliability even though they exhibited relatively low concordance with a common clinical evaluation (thumb localization test).
Conclusion: This suggests our robotic assessment is potentially valuable for assessing deficits in limb position sense in stroke patients and other patients with neurological damage or disease. |
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