Galeoto Giovanni, Ruotolo Ilaria, Sellitto Giovanni, Amadio Emanuele, Di Sipio Enrica, La Russa Raffaele, Volonnino Gianpietro, Frati Paola
Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.
Department of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Sensors (Basel). 2025 Feb 21;25(5):1331. doi: 10.3390/s25051331.
Kinematics experts and physical therapists have implemented the use of sensors for 3D motion analysis, both for static and dynamic movements. XClinic movement sensors are advanced devices designed to analyze movement patterns with high precision. The aim of this study was to validate wearable XClinic sensors for range of motion (ROM) in healthy subjects and obtain normative data. Participants were enrolled at the Sapienza University of Rome in 2024. All participants had to be healthy subjects aged between 18 and 65 years. Data on their demographics, employment and physical activity were collected. All the subjects were tested to assess the active ROM of their shoulder, hip, knee and ankle bilaterally. The same movements were tested using a goniometer to investigate validity, and SF-36 was administered. Fifty subjects were enrolled. The mean age was 28.2 (SD 10.8) years. For the left shoulder, construct validity showed statistically significant values for flexion, extension and extra-rotation, while for the right shoulder, construct validity showed statistically significant values for all movements except intra-rotation. The results concerning the right hip showed statistically significant values for flexion, extra-rotation, intra-rotation and adduction. The left hip showed statistically significant values for all movements except extension. Both the right and left knees showed statistically significant values for flexion. Both the right and left ankles showed statistically significant values for all movements. XClinic sensors offer a reliable and valid solution for the precise monitoring of the ROM of the shoulder and lower limb joints, making them an invaluable asset for clinicians and researchers.
运动学专家和物理治疗师已将传感器用于静态和动态运动的三维运动分析。XClinic运动传感器是先进的设备，旨在高精度分析运动模式。本研究的目的是验证可穿戴XClinic传感器在健康受试者中的关节活动范围（ROM）并获取规范数据。参与者于2024年在罗马第一大学招募。所有参与者必须是年龄在18至65岁之间的健康受试者。收集了他们的人口统计学、就业和身体活动数据。对所有受试者双侧进行肩部、髋部、膝盖和脚踝的主动ROM评估测试。使用角度计测试相同的动作以研究有效性，并进行SF-36问卷调查。招募了50名受试者。平均年龄为28.2（标准差10.8）岁。对于左肩，结构效度在屈曲、伸展和外旋方面显示出统计学上的显著值，而对于右肩，除内旋外的所有动作的结构效度均显示出统计学上的显著值。右髋部的结果在屈曲、外旋、内旋和内收方面显示出统计学上的显著值。左髋部除伸展外的所有动作均显示出统计学上的显著值。右膝和左膝在屈曲方面均显示出统计学上的显著值。右踝和左踝在所有动作方面均显示出统计学上的显著值。XClinic传感器为精确监测肩部和下肢关节的ROM提供了可靠且有效的解决方案，使其成为临床医生和研究人员的宝贵资产。
