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Statistical measures of motor sensory and cognitive performance across repeated robot-based testing

机译:基于重复机器人的测试的电动机感官和认知性能的统计测量

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摘要

The Kinarm exoskeleton robot, tasks performed in this study, and characteristics of the Task Score distribution. a) Participants were seated and moved their arms in the horizontal workspace underneath a semi-transparent glass sheet. Tasks were projected onto the glass from above. Vision of the hands was obscured, however visual feedback was provided in most tasks. b) Participants completed 8 behavioural tasks testing motor, cognition-motor, cognitive, and sensory behavioural domains. VGR, RVGR, and APM were performed in each arm individually, yielding 2 datasets for each of these tasks. c) The Task Score cumulative density function (CDF) approximates that of the standard Normal distribution. A Task Score of 0 is the best, and increasing values reflect poorer performance. The distribution of Mahalanobis distance scores (M-Scores) is the same
机译:Kinarm外科机器人,在本研究中执行的任务,以及任务分数分布的特征。 a)参与者坐在半透明玻璃板下方的水平工作空间中。从上面投射到玻璃上的任务。手的愿景被遮挡,但在大多数任务中提供了视觉反馈。 b)参与者完成了8个行为任务测试电机,认知电动机,认知和感官行为域。在每个臂中单独地执行VGR,RVGR和APM,为每个任务产生2个数据集。 c)任务分数累积密度函数(CDF)近似标准正态分布的累积。任务分数为0是最好的,并且增加的值反映了较差的性能。 mahalanobis距离分数的分布(m-scores)是相同的

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