Automated Assessment of Upper Extremity Movement Impairment due to Stroke

被引:75
作者
Olesh, Erienne V. [1 ]
Yakovenko, Sergiy [2 ]
Gritsenko, Valeriya [1 ]
机构
[1] W Virginia Univ, Sch Med, Div Phys Therapy, Morgantown, WV 26506 USA
[2] W Virginia Univ, Sch Med, Div Exercise Physiol, Morgantown, WV 26506 USA
关键词
FUGL-MEYER ASSESSMENT; UPPER-LIMB FUNCTION; REACH-TO-GRASP; PHYSICAL REHABILITATION; MICROSOFT KINECT; MOTOR RECOVERY; TELEREHABILITATION; THERAPY; PERFORMANCE; SYSTEM;
D O I
10.1371/journal.pone.0104487
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Current diagnosis and treatment of movement impairment post-stroke is based on the subjective assessment of select movements by a trained clinical specialist. However, modern low-cost motion capture technology allows for the development of automated quantitative assessment of motor impairment. Such outcome measures are crucial for advancing post-stroke treatment methods. We sought to develop an automated method of measuring the quality of movement in clinically-relevant terms from low-cost motion capture. Unconstrained movements of upper extremity were performed by people with chronic hemiparesis and recorded by standard and low-cost motion capture systems. Quantitative scores derived from motion capture were compared to qualitative clinical scores produced by trained human raters. A strong linear relationship was found between qualitative scores and quantitative scores derived from both standard and low-cost motion capture. Performance of the automated scoring algorithm was matched by averaged qualitative scores of three human raters. We conclude that low-cost motion capture combined with an automated scoring algorithm is a feasible method to assess objectively upper-arm impairment post stroke. The application of this technology may not only reduce the cost of assessment of post stroke movement impairment, but also promote the acceptance of objective impairment measures into routine medical practice.
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页数:9
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