Combined Use of sEMG and Inertial Sensing to Evaluate Biomechanical Overload in Manufacturing: An On-the-Field Experience

Author:

Monaco Maria Grazia Lourdes1ORCID,Fiori Lorenzo23,Marchesi Agnese4,Muoio Mariarosaria5,Garzillo Elpidio Maria6ORCID,Caputo Francesco7ORCID,Miraglia Nadia5,Lamberti Monica5,Silvetti Alessio8,Draicchio Francesco8

Affiliation:

1. Occupational Medicine Unit, University Hospital of Verona, 37134 Verona, Italy

2. Department of Physiology and Pharmacology, PhD Program in Behavioral Neuroscience, Sapienza University of Rome, Viale dell’Università, 30, 00185 Rome, Italy

3. Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), Monte Porzio Catone, 00078 Rome, Italy

4. Microsoft Italia, Viale Pasubio, 21, 20154 Milano, Italy

5. Department of Experimental Medicine, University of Campania Luigi Vanvitelli, Via Santa Maria di Costantinopoli, 16, 80138 Naples, Italy

6. Department of Prevention, Abruzzo Local Health Authority, 67100 L’Aquila, Italy

7. Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma, 29, 81031 Aversa, Italy

8. INAIL Research Center, Via di Fontana Candida, 1, Monte Porzio Catone, 00078 Rome, Italy

Abstract

Biomechanical overload is considered a significant occupational risk in manufacturing and a potential cause of musculoskeletal disorders. This research aims to introduce new methodologies for the quantitative risk evaluation of biomechanical risk by combining surface electromyography with a motion acquisition system based on inertial measurement units. Due to the lack of experimental data in the literature acquired in a real industrial environment during the working shift, an on-the-field study regarding an automotive assembly line workstation has been carried out in collaboration with Fiat Chrysler Automobiles Italy S.p.A. Data related to the trunk flexion forward and the erector spinae muscle activity have been acquired for several consecutive working cycles by considering three different workers. Data analyses indicated kinematic and muscular activity patterns consistent with those expected and that the proposed wearable technologies can be integrated and used simultaneously during work activities. Furthermore, the results demonstrated data repeatability, strengthening the feasibility and usefulness of the combined use of kinematic and electromyography technologies to assess biomechanical overload in production lines. This study could lay the bases for the future definition of a method for assessing biomechanical overload due to awkward postures.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

Reference34 articles.

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4. Bernard, P.B. (2023, January 31). Musculoskeletal Disorders and Workplace Factors: A Critical Review of Epidemiologic Evidence for Work-Related Musculoskeletal Disorders of Neck, Upper Extremity, and Low Back, Available online: https://www.cdc.gov/niosh/docs/97-141/default.html.

5. Systematic evaluation of observational methods assessing biomechanical exposures at work;Takala;Scand. J. Work. Environ. Health,2010

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