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

肌电图 物理医学与康复 腰痛 医学 背痛 物理疗法 肌肉疲劳 病理 替代医学
作者
Tiwana Varrecchia,Alberto Ranavolo,Giorgia Chini,Alessandro Marco De Nunzio,Francesco Draicchio,Eduardo Martinez‐Valdes,Deborah Falla,Silvia Conforto
出处
期刊:Journal of Electromyography and Kinesiology [Elsevier BV]
卷期号:73: 102839-102839 被引量:1
标识
DOI:10.1016/j.jelekin.2023.102839
摘要

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.
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