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本文引用的文献

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Design, Modeling, and Demonstration of a New Dual-Mode Back-Assist Exosuit with Extension Mechanism.一种具有伸展机构的新型双模式背部辅助外骨骼套装的设计、建模与演示
Wearable Technol. 2021;2. doi: 10.1017/wtc.2021.1. Epub 2021 Mar 24.
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Evaluation of the HeroWear Apex back-assist exosuit during multiple brief tasks.评估 HeroWear Apex 背部辅助外骨骼在多项短暂任务中的表现。
J Biomech. 2021 Sep 20;126:110620. doi: 10.1016/j.jbiomech.2021.110620. Epub 2021 Jul 9.
3
A passive back exoskeleton supporting symmetric and asymmetric lifting in stoop and squat posture reduces trunk and hip extensor muscle activity and adjusts body posture - A laboratory study.被动式背部外骨骼在弯腰和深蹲姿势中支持对称和不对称提升,可减少躯干和髋关节伸肌的活动并调整身体姿势 - 一项实验室研究。
Appl Ergon. 2021 Nov;97:103530. doi: 10.1016/j.apergo.2021.103530. Epub 2021 Jul 16.
4
EMG and Joint Angle-Based Machine Learning to Predict Future Joint Angles at the Knee.基于肌电图和关节角度的机器学习预测膝关节未来的关节角度。
Sensors (Basel). 2021 May 22;21(11):3622. doi: 10.3390/s21113622.
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Determining the Costs of Low-Back Pain Associated Sick Leave in the Dutch Workforce in the Period 2015 to 2017.确定 2015 年至 2017 年期间荷兰劳动力中与下背痛相关的病假成本。
J Occup Environ Med. 2021 Jun 1;63(6):e367-e372. doi: 10.1097/JOM.0000000000002221.
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Equivalent Weight: Connecting Exoskeleton Effectiveness with Ergonomic Risk during Manual Material Handling.等效重量:在手动搬运物料过程中连接外骨骼的功效与人体工程学风险。
Int J Environ Res Public Health. 2021 Mar 7;18(5):2677. doi: 10.3390/ijerph18052677.
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The influence of using exoskeletons during occupational tasks on acute physical stress and strain compared to no exoskeleton - A systematic review and meta-analysis.在职业任务中使用外骨骼与不使用外骨骼相比对急性身体压力和应变的影响 - 系统评价和荟萃分析。
Appl Ergon. 2021 Jul;94:103385. doi: 10.1016/j.apergo.2021.103385. Epub 2021 Mar 3.
8
A Promising Wearable Solution for the Practical and Accurate Monitoring of Low Back Loading in Manual Material Handling.一种有前景的可穿戴解决方案,用于在人工物料搬运中实现实际和准确的下背部负载监测。
Sensors (Basel). 2021 Jan 6;21(2):340. doi: 10.3390/s21020340.
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Critical Issues and Imminent Challenges in the Use of sEMG in Return-To-Work Rehabilitation of Patients Affected by Neurological Disorders in the Epoch of Human-Robot Collaborative Technologies.在人机协作技术时代,表面肌电图在神经系统疾病患者重返工作岗位康复中的关键问题与紧迫挑战
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Effects of industrial back-support exoskeletons on body loading and user experience: an updated systematic review.工业背部支撑外骨骼对身体负荷和用户体验的影响:最新系统评价。
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一种评估背部外骨骼对受伤风险影响的人体工程学评估工具。

An ergonomic assessment tool for evaluating the effect of back exoskeletons on injury risk.

机构信息

Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Physical Medicine and Rehabilitation, Vanderbilt University, Nashville, TN, USA; HeroWear, LLC, Nashville, TN, USA.

Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

出版信息

Appl Ergon. 2022 Feb;99:103619. doi: 10.1016/j.apergo.2021.103619. Epub 2021 Nov 2.

DOI:10.1016/j.apergo.2021.103619
PMID:34740072
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9827614/
Abstract

Low back disorders (LBDs) are a leading injury in the workplace. Back exoskeletons (exos) are wearable assist devices that complement traditional ergonomic controls and reduce LBD risks by alleviating musculoskeletal overexertion. However, there are currently no ergonomic assessment tools to evaluate risk for workers wearing back exos. Exo-LiFFT, an extension of the Lifting Fatigue Failure Tool, is introduced as a means to unify the etiology of LBDs with the biomechanical function of exos. We present multiple examples demonstrating how Exo-LiFFT can assess or predict the effect of exos on LBD risk without costly, time-consuming electromyography studies. For instance, using simulated and real-world material handling data we show an exo providing a 30 Nm lumbar moment is projected to reduce cumulative back damage by ∼70% and LBD risk by ∼20%. Exo-LiFFT provides a practical, efficient ergonomic assessment tool to assist safety professionals exploring back exos as part of a comprehensive occupational health program.

摘要

下背部疾病(LBDs)是工作场所的主要损伤。背部外骨骼(exos)是可穿戴的辅助设备,可通过减轻肌肉骨骼过度用力来补充传统的人体工程学控制,并降低 LBD 风险。然而,目前还没有用于评估穿戴背部外骨骼的工人风险的人体工程学评估工具。Exo-LiFFT 是举重疲劳失效工具的扩展,旨在将 LBD 的病因与 exos 的生物力学功能统一起来。我们展示了多个示例,展示了如何使用 Exo-LiFFT 在不进行昂贵、耗时的肌电图研究的情况下评估或预测 exos 对 LBD 风险的影响。例如,使用模拟和真实世界的物料搬运数据,我们表明,一个提供 30Nm 腰部力矩的外骨骼预计将减少累积的背部损伤约 70%,并降低 LBD 风险约 20%。Exo-LiFFT 提供了一种实用、高效的人体工程学评估工具,可帮助安全专业人员将背部外骨骼作为全面职业健康计划的一部分进行探索。