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Objective quantification of upper extremity motor functions in Unified Parkinson's Disease Rating Scale Test

机译:统一帕金森氏病评分量表测试中的上肢运动功能的客观量化

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Two tri-axial accelerometers were placed on the wrists (one on each hand) of the patients with Parkinson's disease (PD) and a non-PD control group. Subjects were asked to perform three of the upper extremity motor function tasks from the Unified Parkinson's Disease Rating Scale (UPDRS) test. The tasks were: 1) finger tapping, 2) opening and closing of palms, and 3) pronation-supination movements of the forearms. The inertia signals were wirelessly received and stored on a computer for further off-line analysis. Various features such as range, standard deviation, entropy, time to accomplish the task, and maximum frequency present in the signal were extracted and compared. The results showed that among the studied population, “standard deviation”, “range”, “entropy”, “time” and “max frequency” are the best to worst features, respectively, to distinguish between the non-PD and PD subjects. Furthermore, using the mentioned features, it is more probable to distinguish between the non-PD and PD subjects from tasks 2 and 3 as opposed to task 1.
机译:在帕金森氏病(PD)和非PD对照组的手腕上放置了两个三轴加速度计(每只手一只)。从统一帕金森氏病评分量表(UPDRS)测试中,要求受试者执行三项上肢运动功能任务。任务是:1)敲击手指; 2)打开和关闭手掌; 3)前臂的旋前旋运动。惯性信号被无线接收并存储在计算机上,以进行进一步的离线分析。提取并比较了各种特征,例如范围,标准偏差,熵,完成任务的时间以及信号中出现的最大频率。结果表明,在研究人群中,“标准差”,“范围”,“熵”,“时间”和“最大频率”分别是区分非PD和PD受试者的最佳特征。此外,使用上述功能,更有可能区分任务2和3中的非PD和PD受试者,而不是任务1。

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