Herrera Valerio M Cristina, Webster Kat, Brenneman Larissa, Yung Marcus, Yazdani Amin
Canadian Institute for Safety, Wellness, and Performance, Conestoga College Institute of Technology and Advanced Learning, Cambridge, ON, Canada.
IISE Trans Occup Ergon Hum Factors. 2025 Aug 2:1-17. doi: 10.1080/24725838.2025.2539781.
OCCUPATIONAL APPLICATIONSAmong the three commonly used mathematical models for estimating overhead position from inclination data, the trigonometry model showed the most consistent alignment with in-lab motion capture data, with no statistically significant differences observed. Strong correlations were found between accelerometer-based wearable and inclination outputs during upright drilling and hammering tasks involving shoulder elevation above 150°. While no statistically significant differences were observed between observational and inclination-based estimates of overhead frequency, discrepancies were present in overhead duration estimates. These findings suggest that, with appropriate signal processing and modeling techniques, inclination data collected at the upper arm may offer a practical approach for estimating overhead exposures in field research. This method could support more refined monitoring and assessment of overhead work, potentially informing interventions aimed at reducing musculoskeletal strain and improving worker safety.
职业应用
在三种常用的根据倾斜数据估算头顶位置的数学模型中,三角学模型与实验室运动捕捉数据的一致性最高,未观察到统计学上的显著差异。在涉及肩部抬高超过150°的直立钻孔和锤击任务中,基于加速度计的可穿戴设备输出与倾斜输出之间发现了强相关性。虽然在头顶频率的观察估计和基于倾斜的估计之间未观察到统计学上的显著差异,但在头顶持续时间估计中存在差异。这些发现表明,通过适当的信号处理和建模技术,在上臂收集的倾斜数据可能为现场研究中估算头顶暴露提供一种实用方法。这种方法可以支持对头顶工作进行更精细的监测和评估,有可能为旨在减少肌肉骨骼劳损和提高工人安全的干预措施提供信息。