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Towards a movement quantification system capable of automatic evaluation of upper limb motor function after neurological injury

机译:朝向神经损伤后能够自动评估上肢电机功能的运动量化系统

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The paper proposes an integrated system to automatically assess motor function after neurological injury. A portable motion capture system was developed in order to obtain all the relevant three dimensional kinematics of the upper limb movement. These kinematics were analyzed by means of a decision tree classifier which features where inferred from the Functional Ability Score (FAS) of the Wolf Motor Function Test (WMFT). In addition, the system is able to correctly quantify the performance time of each selected task of the WMFT. In terms of the FAS the system and the clinician show coherent results for 3 out of 5 patients in the first task tested and 4 out of 5 for the second task tested. Regarding performance time, the mean error between the system and the clinician was of 0.216 s for the 25 trials performed (5 patients, 5 tasks each). These results represent an important proof of concept towards a system capable of precisely evaluate upper limb motor function after neurological injury.
机译:本文提出了一种集成系统,以在神经损伤后自动评估电机功能。开发了一种便携式运动捕获系统,以便获得上肢运动的所有相关的三维运动学。通过决策树分类器分析这些运动学,该决策树分类器在从狼电机功能测试(WMFT)的功能能力得分(FAS)推断出来的特征。此外,系统能够正确地量化WMFT的每个选定任务的性能时间。就FAS系统和临床医生而言,在第一份任务中显示出5名患者中的3名患者的连贯性结果,并测试了第二任务中的4个。关于性能时间,25项试验(5名患者,每次5名任务),系统和临床医生之间的平均误差为0.216秒。这些结果代表了一种能够在神经损伤后能够精确地评估上肢电机功能的系统的重要概念证据。

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