Hellstén Thomas, Arokoski Jari, Karlsson Jonny, Ristolainen Leena, Kettunen Jyrki
Faculty of Medicine University of Helsinki Helsinki Finland.
School of Engineering Culture and Wellbeing Arcada University of Applied Sciences Helsinki Finland.
Healthc Technol Lett. 2025 Jan 31;12(1):e70002. doi: 10.1049/htl2.70002. eCollection 2025 Jan-Dec.
Telerehabilitation requires accurate joint range of motion (ROM) measurement methods. The aim of this study was to evaluate the reliability and validity of a computer vision (CV)-based markerless human pose estimation (HPE) application measuring active hip and knee ROMs. For this study, the joint ROM of 30 healthy young adults (10 females, 20 males) aged 20-33 years (mean: 22.9 years) was measured, and test-retests were assessed for reliability. For validity evaluation, the CV-based markerless HPE application used in this study was compared with an identical reference picture frame. The intraclass correlation coefficient (ICC) for the CV-based markerless HPE application was 0.93 for active hip inner rotation, 0.83 for outer rotation, 0.82 for flexion, 0.82 for extension, and 0.74 for knee flexion. Correlations () of the two measurement methods were 0.99 for hip-active inner rotation, 0.98 for outer rotation, 0.87 for flexion, 0.85 for extension, and 0.90 for knee flexion. This study highlights the potential of a CV-based markerless HPE application as a reliable and valid tool for measuring hip and knee joint ROM. It could offer an accessible solution for telerehabilitation, enabling ROM monitoring.
远程康复需要精确的关节活动范围（ROM）测量方法。本研究的目的是评估一种基于计算机视觉（CV）的无标记人体姿态估计（HPE）应用程序测量髋关节和膝关节主动活动范围的可靠性和有效性。在本研究中，测量了30名年龄在20 - 33岁（平均22.9岁）的健康年轻成年人（10名女性，20名男性）的关节活动范围，并通过重测评估可靠性。为了进行有效性评估，将本研究中使用的基于CV的无标记HPE应用程序与一个相同的参考图片框架进行比较。基于CV的无标记HPE应用程序的组内相关系数（ICC）在髋关节主动内旋时为0.93，外旋时为0.83，屈曲时为0.82，伸展时为0.82，膝关节屈曲时为0.74。两种测量方法的相关性（）在髋关节主动内旋时为0.99，外旋时为0.98，屈曲时为0.87，伸展时为0.85，膝关节屈曲时为0.90。本研究突出了基于CV的无标记HPE应用程序作为测量髋关节和膝关节活动范围的可靠有效工具的潜力。它可以为远程康复提供一种可及的解决方案，实现活动范围监测。
