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一种商用无标记式头戴显示器与基于标记式运动捕捉系统在脑卒中患者手部运动学测量中的定量比较。

Quantitative Comparison of Hand Kinematics Measured with a Markerless Commercial Head-Mounted Display and a Marker-Based Motion Capture System in Stroke Survivors.

机构信息

Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, 98122 Messina, Italy.

Center of Translational Neurophysiology of Speech and Communication (CTNSC), Istituto Italiano di Tecnologia (IIT), 44121 Ferrara, Italy.

出版信息

Sensors (Basel). 2023 Sep 15;23(18):7906. doi: 10.3390/s23187906.

DOI:10.3390/s23187906
PMID:37765963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10535006/
Abstract

Upper-limb paresis is common after stroke. An important tool to assess motor recovery is to use marker-based motion capture systems to measure the kinematic characteristics of patients' movements in ecological scenarios. These systems are, however, very expensive and not readily available for many rehabilitation units. Here, we explored whether the markerless hand motion capabilities of the cost-effective Oculus Quest head-mounted display could be used to provide clinically meaningful measures. A total of 14 stroke patients executed ecologically relevant upper-limb tasks in an immersive virtual environment. During task execution, we recorded their hand movements simultaneously by means of the Oculus Quest's and a marker-based motion capture system. Our results showed that the markerless estimates of the hand position and peak velocity provided by the Oculus Quest were in very close agreement with those provided by a marker-based commercial system with their regression line having a slope close to 1 (maximum distance: mean slope = 0.94 ± 0.1; peak velocity: mean slope = 1.06 ± 0.12). Furthermore, the Oculus Quest had virtually the same sensitivity as that of a commercial system in distinguishing healthy from pathological kinematic measures. The Oculus Quest was as accurate as a commercial marker-based system in measuring clinically meaningful upper-limb kinematic parameters in stroke patients.

摘要

上肢瘫痪在中风后很常见。评估运动恢复的一个重要工具是使用基于标记的运动捕捉系统来测量患者在生态场景中的运动的运动学特征。然而,这些系统非常昂贵,许多康复单位都无法使用。在这里,我们探讨了价格合理的 Oculus Quest 头戴式显示器的无标记手部运动功能是否可用于提供具有临床意义的测量。共有 14 名中风患者在沉浸式虚拟环境中执行与生态相关的上肢任务。在任务执行过程中,我们通过 Oculus Quest 和基于标记的运动捕捉系统同时记录他们的手部运动。我们的结果表明,Oculus Quest 提供的手部位置和峰值速度的无标记估计值与基于标记的商业系统提供的非常吻合,其回归线斜率接近 1(最大距离:平均斜率=0.94±0.1;峰值速度:平均斜率=1.06±0.12)。此外,Oculus Quest 在区分健康和病理运动测量方面与商业系统具有相同的灵敏度。Oculus Quest 在测量中风患者的临床相关上肢运动学参数方面与商业基于标记的系统一样准确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/10535006/28f0d36df7bb/sensors-23-07906-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/10535006/93dda094f925/sensors-23-07906-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/10535006/4e2e523cd05b/sensors-23-07906-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/10535006/28f0d36df7bb/sensors-23-07906-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/10535006/93dda094f925/sensors-23-07906-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/10535006/4e2e523cd05b/sensors-23-07906-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e5b/10535006/28f0d36df7bb/sensors-23-07906-g003.jpg

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