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

Varrecchia, Tiwana; Ranavolo, Alberto; Chini, Giorgia; De Nunzio, Alessandro Marco; Draicchio, Francesco; Martinez-Valdes, Eduardo; Falla, Deborah; Conforto, Silvia

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.

Más información

Título según WOS: ID WOS:001110819900001 Not found in local WOS DB
Título de la Revista: JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
Volumen: 73
Editorial: ELSEVIER SCI LTD
Fecha de publicación: 2023
DOI:

10.1016/j.jelekin.2023.102839

Notas: ISI