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Quantitative assessment of motor functions post-stroke: Responsiveness of upper-extremity robotic measures and its task dependence

Amir Hussain, Aamani Budhota, Sara Contu, Simone Kager, Deshmukh Arun Vishwanath, Christopher Wee Keong Kuah, Lester H. L. Yam, Karen Sui Geok Chua, Lorenzo Masia, Domenico Campolo

Year
2017
Citations
7

Abstract

Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment of sensorimotor function after neurological impairment compared to standard clinical assessments. This preliminary study investigated the relationship between task definition and its effect on robotic measures using a planar, two degree of freedom, robotic-manipulator (H-Man). Four chronic stroke participants (49.5±11.95 years, 2 Female, FMA: 37.5±13.96) and eight healthy control participants (26.25± 4.70 years, 2 Female) participated in the study. Motor functions were evaluated using line tracing and circle tracing tasks with dominant and nondominant hand of healthy and affected vs. non affected hand of stroke participants. The results show significant dependence of quantitative measures on investigated tasks.

Keywords

Physical medicine and rehabilitationTracingTask (project management)Stroke (engine)Motor functionChronic strokePsychologyMotor controlPhysical therapyRehabilitation

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