帕金森病患者临床评定量表与惯性信号特征的相关性分析

Q4 Engineering

Journal of the Korean Society for Precision Engineering Pub Date : 2023-07-31 DOI:10.7736/jkspe.022.149

Tae-Hee Kim, Ha-Eun Jo, Hui-Woo Choi, Pyoung-Hwa Choi, Won-jae Lee, Heegoo Yang, W. S. Sim

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引用次数: 0

摘要

IMU）信号与帕金森病的临床评估量表之间存在相关性。这项研究包括16名被诊断为帕金森氏症的患者。根据韩国小型精神状态检查（KMMSE）、统一帕金森病评定量表（UPDRS）第3部分、新步态冻结问卷（NFOGQ）第2和第3部分以及Hoehn&Yahr量表（H&Y）对每个受试者进行评估。所有受试者通过将IMU传感器连接到脚踝和躯干来进行Time Up and Go测试。根据躯干的倾斜角度和第一步的时间，确定了冷冻和非冷冻窗口。在特定窗口中计算了涉及脚踝信号的七个IMU特征。对临床评价量表进行Spearman相关性分析。因此，推荐冻结指数和运动频带（0.3-3Hz）的功率来确定UPDRS第3部分。此外，运动带的强度有助于评估NFOGQ第3部分，而不考虑步态的冻结。

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Correlation Analysis between Clinical Rating Scales and Inertial Signal Features in Parkinson’s Disease Patients

IMU) signals and clinical evaluation scales for Parkinson's disease were correlated. The study included 16 patients diagnosed with Parkinson's disease. Each subject was evaluated based on Korean Mini-Mental State Examination (KMMSE), Unified Parkinson's Disease Rating Scale (UPDRS) part 3, New Freezing of Gait Questionnaire (NFOGQ) parts 2 & 3, and Hoehn & Yahr Scale (H&Y). All subjects performed the Time Up and Go test by attaching IMU sensors to both ankles and torso. Based on the tilting angle of torso and the time of first step, the freezing and non-freezing windows were determined. Seven IMU features involving the ankle signals were calculated in the specific window. Spearman’s correlation analysis of clinical evaluation scales was performed. As a result, the freezing index and power of locomotion band (0.3-3 Hz) were recommended to determine UPDRS part 3. Also, the intensity of the locomotion band facilitated evaluation of NFOGQ part 3 regardless of freezing of gait.

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来源期刊

Journal of the Korean Society for Precision Engineering Engineering-Industrial and Manufacturing Engineering

CiteScore

0.50

自引率

0.00%

发文量

104

期刊介绍： Journal of the Korean Society for Precision Engineering (JKSPE) is devoted to publishing original research articles with high ethical standard on all aspects of precision engineering and manufacturing. Specifically, the journal focuses on articles related to improving the precision of machines and manufacturing processes through implementation of creative solutions that stem from advanced research using novel experimental methods, predictive modeling techniques, and rigorous analyses based on mechanical engineering or multidisciplinary approach. The expected outcomes of the knowledge disseminated from JKSPE are enhanced reliability, better motion precision, higher measurement accuracy, and sufficient reliability of precision systems. The various topics covered by JKSPE include: Precision Manufacturing processes, Precision Measurements, Robotics and Automation / Control, Smart Manufacturing System, Design and Materials, Machine Tools, Nano/Micro Technology, Biomechanical Engineering, Additive Manufacturing System, Green Manufacturing Technology.