Identification of the Severity of Abnormalities of Motor Assessments of People with Parkinson’s Disease by Visual Observation of Accelerometry Output (P11-3.014)

Abdelwahab Elshourbagy, Samah Mostafa,Kelly Mills,Timothy Harrigan,Manuel Hernandez,James Brasic

Neurology（2024）SCI 1区

Misr University for Science and Technology | Zagazig University | Johns Hopkins University | Carle Illinois College of Medicine | New York University Grossman School of Medicine

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Abstract

To investigate the reliability of a scoring system to differentiate movement severity by observing the signals and transforms of instrumentation to identify the position in space of the extremities of people with Parkinson's disease (PD)

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
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【要点】：研究通过视觉观察加速度计输出信号，评估帕金森病患者运动异常严重性的评分系统的可靠性。

【方法】：采用基于信号和仪器变换的观察方法，识别帕金森病患者肢体在空间中的位置，以区分运动严重性。

【实验】：通过具体实验观察加速度计输出，实验中使用了特定的数据集，得出了评分系统的可靠性评估结果（数据集名称未在摘要中提供）。