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在健康的年轻人、老年人和帕金森病患者的起始步态中评估稳定性边界:力板与无标记运动捕捉系统的比较。

Evaluation of the Margin of Stability during Gait Initiation in Young Healthy Adults, Elderly Healthy Adults and Patients with Parkinson's Disease: A Comparison of Force Plate and Markerless Motion Capture Systems.

机构信息

LADAPT Loiret, Centre de Soins de Suite et de Réadaptation, 45200 Amilly, France.

CIAMS, Université Paris-Saclay, 91405 Orsay, France.

出版信息

Sensors (Basel). 2024 May 23;24(11):3322. doi: 10.3390/s24113322.

Abstract

Gait initiation (GI) is a functional task classically used in the literature to evaluate the capacity of individuals to maintain postural stability. Postural stability during GI can be evaluated through the "margin of stability" (MoS), a variable that is often computed from force plate recordings. The markerless motion capture system (MLS) is a recent innovative technology based on deep learning that has the potential to compute the MoS. This study tested the agreement between a force plate measurement system (FPS, gold standard) and an MLS to compute the MoS during GI. Healthy adults (young [YH] and elderly [EH]) and Parkinson's disease patients (PD) performed GI series at spontaneous (SVC) and maximum velocity (MVC) on an FPS while being filmed by a MLS. Descriptive statistics revealed a significant effect of the group (YH vs. EH vs. PD) and velocity condition (SVC vs. MVC) on the MoS but failed to reveal any significant effect of the system (MLS vs. PFS) or interaction between factors. Bland-Altman plot analysis further showed that mean MoS biases were zero in all groups and velocity conditions, while the Bayes factor 01 indicated "moderate evidence" that both systems provided equivalent MoS. Trial-by-trial analysis of Bland-Altman plots, however, revealed that differences of >20% between the two systems did occur. Globally taken, these findings suggest that the two systems are similarly effective in detecting an effect of the group and velocity on the MoS. These findings may have important implications in both clinical and laboratory settings due to the ease of use of the MLS compared to the FPS.

摘要

步态启动(GI)是文献中常用于评估个体维持姿势稳定性能力的功能任务。GI 期间的姿势稳定性可以通过“稳定裕度”(MoS)进行评估,这是一个通常从测力板记录中计算得出的变量。无标记运动捕捉系统(MLS)是一种基于深度学习的新技术,具有计算 MoS 的潜力。本研究测试了测力板测量系统(FPS,金标准)和 MLS 之间在 GI 期间计算 MoS 的一致性。健康成年人(年轻组 [YH] 和老年组 [EH])和帕金森病患者(PD)在 FPS 上以自发速度(SVC)和最大速度(MVC)进行 GI 系列,同时由 MLS 拍摄。描述性统计显示,MoS 受到组(YH 与 EH 与 PD)和速度条件(SVC 与 MVC)的显著影响,但未能揭示系统(MLS 与 PFS)或因素之间相互作用的任何显著影响。Bland-Altman 图分析进一步表明,在所有组和速度条件下,MoS 平均偏差均为零,而贝叶斯因子 01 表示“中等证据”表明两个系统提供了等效的 MoS。然而,Bland-Altman 图的逐次试验分析显示,两个系统之间确实存在 >20%的差异。总的来说,这些发现表明,这两个系统在检测组和速度对 MoS 的影响方面同样有效。由于 MLS 与 FPS 相比具有易用性,这些发现可能对临床和实验室环境具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04d2/11174352/6cbddd6cfb48/sensors-24-03322-g001.jpg

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