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首页> 外文会议>2019 IEEE International Symposium on Measurements amp; Networking >Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson’s Disease Motor Assessment
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Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson’s Disease Motor Assessment

机译：基于视觉光学的Senshand准确性评估，用于帕金森氏病运动评估

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Parkinson’s disease (PD) is a highly-disabling common neurodegenerative disease. The current method to diagnose PD is mainly based on clinical criteria and motor examination of the performance of the patients that are visually evaluated by the neurologist while they performed tasks from MDS-UPDRS. In order to support the clinician in objective assessment of the motor performance, sensorized wearable technology able to finely measure the motion are currently investigated. Since accuracy and precision of the measures are mandatory to provide the neurologist with a tool that can actually be applied in clinical practice, in this work, the quality of measures obtained by the SensHand system was evaluated, comparing them to an optoelectronic “gold standard” system addressing a preliminary technical validation. Three exercises (i.e., finger tapping, thumb-forefinger tapping, and pronosupination) were selected and frequency, number of repetitions and amplitude of the movements were measured for each of them by both the wearable and optical systems. The preliminary results were very satisfying, considering that discrepancies, measured as absolute error, in frequency evaluation, number of repetitions, and amplitude movement were, on average, equal to 0.03 taps/s(min0.02, max0.05), 0.07 tap (min 0.02, max 0.13), and 3.8 degrees (min 1.81, max7.47), respectively. Very high correlation values obtained from linear regression analysis (R2
机译：帕金森氏病（PD）是一种高度致残的常见神经退行性疾病。目前诊断PD的方法主要基于临床标准和运动检查，由神经科医生在执行MDS-UPDRS任务时对患者的表现进行视觉评估。为了支持临床医生客观评估电机性能，目前正在研究能够精确测量运动的可穿戴传感器技术。由于必须保证措施的准确性和精确性，才能为神经科医生提供可以在临床实践中实际使用的工具，因此在这项工作中，我们评估了SensHand系统获得的措施的质量，并将其与光电“黄金标准”进行了比较。系统进行初步技术验证。选择了三个练习（即，敲击手指，拇指-食指敲击和代名词），并通过可穿戴系统和光学系统分别测量了它们的频率，重复次数和运动幅度。初步结果非常令人满意，考虑到在频率评估，重复次数和幅度移动方面，按绝对误差衡量的差异平均等于0.03 taps / s（最小0.02，最大0.05），0.07个抽头（最小0.02，最大0.13）和3.8度（最小1.81，最大7.47）。通过线性回归分析获得非常高的相关值（R \ n 2\n>0.9）也证实了使用SensHand进行测量的准确性。因此，从SensHand系统获得的结果有望用于支持神经科医生对运动分析进行精确定量，从而改善客观的PD评估。

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