K评分：一种基于通过可穿戴惯性测量单元进行关节角度测量来量化与疲劳相关的人体工程学风险的新型评分系统。

K-score: A novel scoring system to quantify fatigue-related ergonomic risk based on joint angle measurements via wearable inertial measurement units.

作者信息

Beltran Martinez Karla, Nazarahari Milad, Rouhani Hossein

机构信息

Department of Mechanical Engineering, University of Alberta, Donadeo Innovation Centre for Engineering, Edmonton, Alberta, T6G 1H9, Canada.

Department of Mechanical Engineering, University of Alberta, Donadeo Innovation Centre for Engineering, Edmonton, Alberta, T6G 1H9, Canada; Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.

出版信息

Appl Ergon. 2022 Jul;102:103757. doi: 10.1016/j.apergo.2022.103757. Epub 2022 Apr 1.

DOI:10.1016/j.apergo.2022.103757

PMID:35378482

Abstract

Work-related musculoskeletal disorders have been recognized as a global problem that affects millions of people annually. Fatigue is one of the main contributors to musculoskeletal disorders. Thus, this study investigated fatigue detection based on the measured body motion by wearable inertial measurement units. We quantified the body motion during manual handling tasks using a novel kinematic score (i.e., K-score), and the Rapid Entire Body Assessment (REBA). K-score and REBA were calculated using joint angles. Nevertheless, unlike REBA, K-score showed a significant correlation (Spearman's correlation coefficient of ρ(302) = 0.21, p < 0.05) with electromyography (EMG) signal amplitude, which was affected by muscle fatigue. Therefore, in-field measurement of K-score using inertial measurement units could detect the fatigue-induced change of body motion in long-duration manual handling tasks. Our proposed K-score can be used to assess fatigue-related ergonomic risk in long-term and real-world working conditions without the need for tedious EMG recording at workplaces.

摘要

与工作相关的肌肉骨骼疾病已被公认为一个全球性问题，每年影响数百万人。疲劳是导致肌肉骨骼疾病的主要因素之一。因此，本研究基于可穿戴惯性测量单元测量的身体运动来研究疲劳检测。我们使用一种新颖的运动学评分（即K评分）和快速全身评估（REBA）来量化人工操作任务期间的身体运动。K评分和REBA是使用关节角度计算得出的。然而，与REBA不同的是，K评分与受肌肉疲劳影响的肌电图（EMG）信号幅度显示出显著相关性（Spearman相关系数ρ(302) = 0.21，p < 0.05）。因此，使用惯性测量单元在现场测量K评分可以检测长时间人工操作任务中由疲劳引起的身体运动变化。我们提出的K评分可用于评估长期和实际工作条件下与疲劳相关的人体工程学风险，而无需在工作场所进行繁琐的肌电图记录。