Electronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, Mexico.
Mechatronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, Mexico.
Sensors (Basel). 2022 Mar 15;22(6):2258. doi: 10.3390/s22062258.
The interruption of rehabilitation activities caused by the COVID-19 lockdown has significant health negative consequences for the population with physical disabilities. Thus, measuring the range of motion (ROM) using remotely taken photographs, which are then sent to specialists for formal assessment, has been recommended. Currently, low-cost Kinect motion capture sensors with a natural user interface are the most feasible implementations for upper limb motion analysis. An active range of motion (AROM) measuring system based on a Kinect v2 sensor for upper limb motion analysis using Fugl-Meyer Assessment (FMA) scoring is described in this paper. Two test groups of children, each having eighteen participants, were analyzed in the experimental stage, where upper limbs’ AROM and motor performance were assessed using FMA. Participants in the control group (mean age of 7.83 ± 2.54 years) had no cognitive impairment or upper limb musculoskeletal problems. The study test group comprised children aged 8.28 ± 2.32 years with spastic hemiparesis. A total of 30 samples of elbow flexion and 30 samples of shoulder abduction of both limbs for each participant were analyzed using the Kinect v2 sensor at 30 Hz. In both upper limbs, no significant differences (p < 0.05) in the measured angles and FMA assessments were observed between those obtained using the described Kinect v2-based system and those obtained directly using a universal goniometer. The measurement error achieved by the proposed system was less than ±1° compared to the specialist’s measurements. According to the obtained results, the developed measuring system is a good alternative and an effective tool for FMA assessment of AROM and motor performance of upper limbs, while avoiding direct contact in both healthy children and children with spastic hemiparesis.
由于 COVID-19 封锁而中断的康复活动对身体残疾人群的健康产生了重大负面影响。因此，已经建议使用远程拍摄的照片来测量运动范围（ROM），然后将其发送给专家进行正式评估。目前，具有自然用户界面的低成本 Kinect 运动捕捉传感器是进行上肢运动分析的最可行实现方式。本文介绍了一种基于 Kinect v2 传感器的主动运动范围（AROM）测量系统，用于使用 Fugl-Meyer 评估（FMA）评分进行上肢运动分析。在实验阶段，对两个儿童测试组进行了分析，每组有 18 名参与者，使用 FMA 评估上肢的 AROM 和运动性能。对照组（平均年龄 7.83 ± 2.54 岁）的参与者没有认知障碍或上肢骨骼肌肉问题。研究测试组由 8.28 ± 2.32 岁患有痉挛性偏瘫的儿童组成。使用 Kinect v2 传感器以 30 Hz 的频率对每个参与者的双侧肘部弯曲和肩部外展各 30 个样本进行分析。在两个上肢中，在所描述的基于 Kinect v2 的系统获得的和直接使用通用量角器获得的测量角度和 FMA 评估之间未观察到显著差异（p < 0.05）。与专家测量值相比，所提出的系统的测量误差小于±1°。根据获得的结果，所开发的测量系统是评估 AROM 和上肢运动性能的 FMA 的良好替代方法和有效工具，同时避免了健康儿童和痉挛性偏瘫儿童的直接接触。
