Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy.
Department of Engineering, Roma TRE University, Via Vito Volterra 62, 00146 Rome, Italy.
Int J Environ Res Public Health. 2018 Sep 13;15(9):2001. doi: 10.3390/ijerph15092001.
: In order to reduce the risk of work-related musculoskeletal disorders (WMSDs) several methods have been developed, accepted by the international literature and used in the workplace. The purpose of this systematic review was to describe recent implementations of wearable sensors for quantitative instrumental-based biomechanical risk assessments in prevention of WMSDs. : Articles written until 7 May 2018 were selected from PubMed, Scopus, Google Scholar and Web of Science using specific keywords. : Instrumental approaches based on inertial measurement units and sEMG sensors have been used for direct evaluations to classify lifting tasks into low and high risk categories. Wearable sensors have also been used for direct instrumental evaluations in handling of low loads at high frequency activities by using the local myoelectric manifestation of muscle fatigue estimation. In the field of the rating of standard methods, on-body wireless sensors network-based approaches for real-time ergonomic assessment in industrial manufacturing have been proposed. : Few studies foresee the use of wearable technologies for biomechanical risk assessment although the requirement to obtain increasingly quantitative evaluations, the recent miniaturization process and the need to follow a constantly evolving manual handling scenario is prompting their use.
为降低与工作相关的肌肉骨骼疾病(WMSD)的风险,已经开发了多种方法,这些方法已被国际文献所接受并在工作场所使用。本系统综述的目的是描述可穿戴传感器在 WMSD 预防中的最新应用,以进行定量仪器生物力学风险评估。
使用特定关键字,从 PubMed、Scopus、Google Scholar 和 Web of Science 中选择截至 2018 年 5 月 7 日的文章。基于惯性测量单元和表面肌电传感器的仪器方法已被用于直接评估,将举升任务分为低风险和高风险类别。可穿戴传感器也已被用于通过估计肌肉疲劳的局部肌电表现来处理高频活动中的低负荷,进行直接仪器评估。在标准方法评定领域,提出了基于体域网无线传感器的方法,用于工业制造中的实时人体工程学评估。
尽管需要获得越来越定量的评估、最近的小型化过程以及需要跟踪不断发展的手动处理场景,但只有少数研究预见到可穿戴技术在生物力学风险评估中的应用。
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