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高密度表面肌电图可用于识别疲劳频率相关举重活动期间有和没有下腰痛的风险条件和人群。

High-density surface electromyography allows to identify risk conditions and people with and without low back pain during fatiguing frequency-dependent lifting activities.

机构信息

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

LUNEX International University of Health, Exercise and Sports, 50, Avenue du Parc des Sports, Differdange 4671, Luxembourg; Luxembourg Health & Sport Sciences Research Institute A.s.b.l., 50, Avenue du Parc des Sports, Differdange 4671, Luxembourg.

出版信息

J Electromyogr Kinesiol. 2023 Dec;73:102839. doi: 10.1016/j.jelekin.2023.102839. Epub 2023 Nov 4.

DOI:10.1016/j.jelekin.2023.102839
PMID:37948840
Abstract

Low back pain (LBP) is a leading cause of disability in the workplace, often caused by manually lifting of heavy loads. Instrumental-based assessment tools are used to quantitatively assess the biomechanical risk of lifting activities. This study aims to verify that, during the execution of fatiguing frequency-dependent lifting, high-density surface electromyography (HDsEMG) allows the discrimination of healthy controls (HC) versus people with LBP and biomechanical risk levels. Fifteen HC and eight people with LBP performed three lifting tasks with a progressively increasing lifting index, each lasting 15 min. Erector spinae (ES) activity was recorded using HDsEMG and amplitude parameters were calculated to characterize the spatial distribution of muscle activity. LBP group showed a less ES activity than HC (lower root mean square across the grid and of the activation region) and an involvement of the same muscular area across the task (lower coefficient of variation of the center of gravity of muscle activity). The results indicate the usefulness of HDsEMG parameters to classify risk levels for both HC and LBP groups and to determine differences between them. The findings suggest that the use of HDsEMG could expand the capabilities of existing instrumental-based tools for biomechanical risk classification during lifting activities.

摘要

下背痛(LBP)是工作场所导致残疾的主要原因,通常是由于手动搬运重物引起的。基于仪器的评估工具用于定量评估举重活动的生物力学风险。本研究旨在验证在进行疲劳频率依赖性举重时,高密度表面肌电图(HDsEMG)是否可以区分健康对照组(HC)与下背痛患者和生物力学风险水平。15 名 HC 和 8 名下背痛患者进行了三项递增举重指数的举重任务,每项任务持续 15 分钟。使用高密度表面肌电图记录竖脊肌(ES)的活动,并计算幅度参数以描述肌肉活动的空间分布。与 HC 相比,LBP 组的 ES 活动较少(网格内和激活区域的均方根较低),并且在整个任务中涉及相同的肌肉区域(肌肉活动重心的变异系数较低)。结果表明,HDsEMG 参数可用于对 HC 和 LBP 组进行风险水平分类,并确定它们之间的差异。研究结果表明,在进行举重活动时,使用 HDsEMG 可以扩展现有的基于仪器的工具在生物力学风险分类方面的功能。

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