基于视觉光学的帕金森病运动评估senshan准确度评估

E. Rovini, D. Esposito, L. Fabbri, S. Pancani, F. Vannetti, F. Cavallo
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引用次数: 7

摘要

帕金森病(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神经学家在执行MDS-UPDRS任务时对患者表现进行视觉评估的运动检查。为了支持临床医生对运动性能的客观评估,目前正在研究能够精细测量运动的传感可穿戴技术。由于测量的准确性和精确性是强制性的,为神经科医生提供了一个可以实际应用于临床实践的工具,在这项工作中,对SensHand系统获得的测量质量进行了评估,并将其与光电“金标准”系统进行了比较,解决了初步的技术验证。选择手指叩击、拇指-食指叩击和前旋三种动作,通过可穿戴和光学系统分别测量每种动作的频率、重复次数和幅度。考虑到以绝对误差衡量的频率评估、重复次数和振幅运动的差异平均分别等于0.03次拍/s(min0.02, max0.05)、0.07次拍(min0.02, max 0.13)和3.8度(min 1.81, max7.47),初步结果非常令人满意。线性回归分析获得的非常高的相关值(R2>0.9)也证实了SensHand测量结果的准确性。因此,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准确量化,以提高PD的客观评估。
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Vision Optical-Based Evaluation of Senshand Accuracy for Parkinson’s Disease Motor Assessment
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>0.9) also confirmed the accuracy of the measurements achieved with SensHand. Therefore, the obtained results from SensHand system are promising to use it to support the neurologist for accurate quantification of motion analysis to improve the objective PD evaluation.
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