Suppr超能文献

使用可穿戴系统评估与肌肉骨骼系统相关的工作风险——一项系统综述

The Use of Wearable Systems for Assessing Work-Related Risks Related to the Musculoskeletal System-A Systematic Review.

作者信息

Motta Filippo, Varrecchia Tiwana, Chini Giorgia, Ranavolo Alberto, Galli Manuela

机构信息

Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Via Ponzio 34/5, 20133 Milan, Italy.

Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00078 Rome, Italy.

出版信息

Int J Environ Res Public Health. 2024 Nov 26;21(12):1567. doi: 10.3390/ijerph21121567.

Abstract

Work-related musculoskeletal disorders (WRMSDs) are a leading cause of chronic conditions among working-age adults. Preventing these disorders is crucial to reducing their impact, and quantitative analysis through sensors can help identify their causes and guide ergonomic solutions. This systematic review aims to compile research from 2000 to 2023 published in English and sourced from Web of Science, Scopus, or PubMed that examines workers' movements during tasks using wearable sensor systems that are applicable in workplace settings. The goal is to identify the job sectors that have been studied and highlight tasks lacking ergonomic risk research. A total of 111 papers were selected through a screening process across three databases, assessed using the McMaster risk of bias tool. The studies span various job sectors and report on the use of different technologies for data collection and study population sizes. The review identifies existing research on WRMSD risks utilizing wearable systems in different job sectors, drawing attention to under-researched areas that warrant further study. It serves as a foundation for future research aimed at understanding the causes of WRMSDs and developing solutions supported by wearable technologies to mitigate these risks.

摘要

与工作相关的肌肉骨骼疾病(WRMSDs)是工作年龄成年人慢性病的主要原因。预防这些疾病对于减少其影响至关重要,通过传感器进行定量分析有助于确定其原因并指导制定符合人体工程学的解决方案。本系统综述旨在汇总2000年至2023年以英文发表、来源为Web of Science、Scopus或PubMed的研究,这些研究使用适用于工作场所环境的可穿戴传感器系统检查工人在任务期间的动作。目标是确定已被研究的工作部门,并突出缺乏人体工程学风险研究的任务。通过对三个数据库的筛选过程共选出111篇论文,使用麦克马斯特偏倚风险工具进行评估。这些研究涵盖了不同的工作部门,并报告了用于数据收集的不同技术以及研究人群规模。该综述确定了不同工作部门利用可穿戴系统对WRMSD风险的现有研究,提请关注值得进一步研究的研究不足领域。它为未来旨在了解WRMSDs病因并开发可穿戴技术支持的解决方案以减轻这些风险的研究奠定了基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验