High-density surface electromyography allows to identify risk conditions and people with and without low back pain during fatiguing frequency-dependent lifting activities
Copyright © 2023 Elsevier Ltd. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:73 |
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| Enthalten in: |
Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology - 73(2023) vom: 22. Dez., Seite 102839 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Varrecchia, Tiwana [VerfasserIn] |
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| Links: |
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| Themen: |
Biomechanical risk |
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| Anmerkungen: |
Date Completed 11.12.2023 Date Revised 11.12.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jelekin.2023.102839 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM364405058 |
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| 520 | |a Copyright © 2023 Elsevier Ltd. All rights reserved. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Biomechanical risk | |
| 650 | 4 | |a Fatiguing frequency-dependent lifting activities | |
| 650 | 4 | |a High-Density surface EMG | |
| 650 | 4 | |a Low back pain | |
| 700 | 1 | |a Ranavolo, Alberto |e verfasserin |4 aut | |
| 700 | 1 | |a Chini, Giorgia |e verfasserin |4 aut | |
| 700 | 1 | |a De Nunzio, Alessandro Marco |e verfasserin |4 aut | |
| 700 | 1 | |a Draicchio, Francesco |e verfasserin |4 aut | |
| 700 | 1 | |a Martinez-Valdes, Eduardo |e verfasserin |4 aut | |
| 700 | 1 | |a Falla, Deborah |e verfasserin |4 aut | |
| 700 | 1 | |a Conforto, Silvia |e verfasserin |4 aut | |
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