Lv Lulu, Yang Jiantao, Gu Fanbin, Fan Jingyuan, Zhu Qingtang, Liu Xiaolin
Department of Microsurgery, Orthopaedic Trauma and Hand Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Guangdong Province Engineering Laboratory for Soft Tissue Biofabrication, Sun Yat-sen University, Guangzhou, Guangdong, China.
J Hand Surg Glob Online. 2022 Oct 21;5(1):39-47. doi: 10.1016/j.jhsg.2022.08.011. eCollection 2023 Jan.
Quantitative measurement of hand motion is essential in evaluating hand function. This study aimed to investigate the validity and reliability of a novel depth camera-based contactless automatic measurement system to assess hand range of motion and its potential benefits in clinical applications.
Five hand gestures were designed to evaluate the hand range of motion using a depth camera-based measurement system. Seventy-one volunteers were enrolled in performing the designed hand gestures. Then, the hand range of motion was measured with the depth camera and manual procedures. System validity was evaluated based on 3 dimensions: repeatability, within-laboratory precision, and reproducibility. For system reliability, linear evaluation, the intraclass correlation coefficient, paired test and bias were employed to test the consistency and difference between the depth camera and manual procedures.
When measuring phalangeal length, repeatability, within-laboratory precision, and reproducibility were 2.63%, 12.87%, and 27.15%, respectively. When measuring angles of hand motion, the mean repeatability and within-laboratory precision were 1.2° and 3.3° for extension of 5 digits, 2.7° and 10.2° for flexion of 4 fingers, and 3.1° and 5.3° for abduction of 4 metacarpophalangeal joints, respectively. For system reliability, the results showed excellent consistency (intraclass correlation coefficient = 0.823; < .05) and good linearity with the manual procedures ( = 0.909-0.982, approximately; < .001). Besides, 78.3% of the measurements were clinically acceptable.
Our depth camera-based evaluation system provides acceptable validity and reliability in measuring hand range of motion and offers potential benefits for clinical care and research in hand surgery. However, further studies are required before clinical application.
This study suggests a depth camera-based contactless automatic measurement system holds promise for assessing hand range of motion in hand function evaluation, diagnosis, and rehabilitation for medical staff. However, it is currently not adequate for all clinical applications.
手部运动的定量测量对于评估手部功能至关重要。本研究旨在探讨一种基于新型深度相机的非接触式自动测量系统评估手部运动范围的有效性和可靠性,以及其在临床应用中的潜在益处。
设计了五种手部姿势,使用基于深度相机的测量系统评估手部运动范围。招募了71名志愿者来执行设计好的手部姿势。然后,使用深度相机和手动操作测量手部运动范围。系统有效性基于三个维度进行评估:可重复性、实验室内精度和再现性。对于系统可靠性,采用线性评估、组内相关系数、配对检验和偏差来测试深度相机和手动操作之间的一致性和差异。
测量指骨长度时,可重复性、实验室内精度和再现性分别为2.63%、12.87%和27.15%。测量手部运动角度时,五指伸展的平均可重复性和实验室内精度分别为1.2°和3.3°,四指屈曲为2.7°和10.2°,四个掌指关节外展为3.1°和5.3°。对于系统可靠性,结果显示具有出色的一致性(组内相关系数 = 0.823;P <.05),并且与手动操作具有良好的线性关系(r = 0.909 - 0.982,近似;P <.001)。此外,78.3%的测量结果在临床上是可接受的。
我们基于深度相机的评估系统在测量手部运动范围方面提供了可接受的有效性和可靠性,并为手部外科的临床护理和研究提供了潜在益处。然而,在临床应用之前还需要进一步研究。
本研究表明,基于深度相机的非接触式自动测量系统在手部功能评估、诊断和康复中评估手部运动范围方面对医务人员具有前景。然而,它目前并不适用于所有临床应用。