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在实验室条件下评估材料手动搬运任务中的被动式腰部外骨骼。

Assessment of a Passive Lumbar Exoskeleton in Material Manual Handling Tasks under Laboratory Conditions.

机构信息

Instituto de Biomecánica de Valencia, Universitat Politècnica de València, 46022 Valencia, Spain.

Centro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València, 46022 Valencia, Spain.

出版信息

Sensors (Basel). 2022 May 27;22(11):4060. doi: 10.3390/s22114060.

DOI:10.3390/s22114060
PMID:35684682
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9185583/
Abstract

Manual material handling tasks in industry cause work-related musculoskeletal disorders. Exoskeletons are being introduced to reduce the risk of musculoskeletal injuries. This study investigated the effect of using a passive lumbar exoskeleton in terms of moderate ergonomic risk. Eight participants were monitored by electromyogram (EMG) and motion capture (MoCap) while performing tasks with and without the lumbar exoskeleton. The results showed a significant reduction in the root mean square (VRMS) for all muscles tracked: erector spinae (8%), semitendinosus (14%), gluteus (5%), and quadriceps (10.2%). The classic fatigue parameters showed a significant reduction in the case of the semitendinosus: 1.7% zero-crossing rate, 0.9% mean frequency, and 1.12% median frequency. In addition, the logarithm of the normalized Dimitrov's index showed reductions of 11.5, 8, and 14% in erector spinae, semitendinosus, and gluteus, respectively. The calculation of range of motion in the relevant joints demonstrated significant differences, but in almost all cases, the differences were smaller than 10%. The findings of the study indicate that the passive exoskeleton reduces muscle activity and introduces some changes of strategies for motion. Thus, EMG and MoCap appear to be appropriate measurements for designing an exoskeleton assessment procedure.

摘要

工业中的手动搬运任务会导致与工作相关的肌肉骨骼疾病。为了降低肌肉骨骼损伤的风险，正在引入外骨骼。本研究调查了在中等人体工程学风险条件下使用被动腰部外骨骼的效果。八名参与者在使用和不使用腰部外骨骼执行任务时通过肌电图（EMG）和运动捕捉（MoCap）进行监测。结果表明，所有跟踪肌肉的均方根（VRMS）都有显著降低：竖脊肌（8%）、半腱肌（14%）、臀肌（5%）和股四头肌（10.2%）。经典的疲劳参数对半腱肌的情况显示出显著降低：零交叉率降低 1.7%，平均频率降低 0.9%，中值频率降低 1.12%。此外，归一化 Dimitrov 指数的对数显示，竖脊肌、半腱肌和臀肌的降幅分别为 11.5%、8%和 14%。相关关节运动范围的计算显示出显著差异，但在几乎所有情况下，差异都小于 10%。研究结果表明，被动外骨骼可降低肌肉活动并引入运动策略的一些变化。因此，EMG 和 MoCap 似乎是设计外骨骼评估程序的合适测量方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d770/9185583/00d8c5daadfc/sensors-22-04060-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d770/9185583/00d8c5daadfc/sensors-22-04060-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d770/9185583/d09664039698/sensors-22-04060-g0A1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d770/9185583/041d7dff8544/sensors-22-04060-g0A4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d770/9185583/b650475bde4c/sensors-22-04060-g0A5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d770/9185583/25a114624687/sensors-22-04060-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d770/9185583/00d8c5daadfc/sensors-22-04060-g009.jpg

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