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Biomechanical overload represents one of the main risks in the industrial environment and the main possible source of musculoskeletal disorders and diseases. The aim of the this study is to introduce new technologies for quantitative risk assessment of biomechanical overload, by integrating surface electromyography (sEMG) with an innovative motion-capture system based on inertial measurement units (IMU).
The case study was carried out in collaboration with Fiat Chrysler Automobiles Italy S.p.A. and deals with the analysis of the “central tunnel cabinet assembly” activity, performed by two workers of assembly lines during a working task, which lasts about one minute. The electromyography signals were acquired bilaterally, in three different body regions on the right and on the left side of the Erector Spinae, during standard working activities; the progression of trunk postures (flexion-extension, lateral flexion and twisting) was tracked by using an inertial motion-capture system made of wearable inertial sensors, to evaluate the alignment of the major body segments, using a developed algorithm.
Data analysis showed kinematic and muscular activity patterns consistent with the expected ones. In particular, data show that the proposed technologies can be integrated and simultaneously used during workers’ real performing activities. Data quality also demonstrates that both types of sensors, EMG electrodes and IMU, not influenced each other, neither by electromagnetic noise usually present in an industrial environment. The results of this study show feasibility and usefulness of the integration of kinematic and electromyography technologies for assessing the biomechanical overload in production lines.
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Zare M, Sagot JC, Roquelaure Y (2018) Within and between individual variability of exposure to work-related musculoskeletal disorder risk factors. Int J Environ Res Public Health 15(5):E1003
Takala E-P, Pehkonen I, Forsman M, Hansson G-Å, Mathiassen SE, Neumann WP, Sjøgaard G, Veiersted KB, Westgaard RH, Winkel J (2010) Systematic evaluation of observational methods assessing biomechanical exposures at work. Scand J Work Environ Health 36(1):3–24 CrossRef
Merletti R, Farina D (2016) Surface Electromyography: physiology, engineering and applications. IEEE Press/J Wiley, USA CrossRef
Peppoloni L, Filippeschi A, Ruffaldi E, Avizzano CA (2015) (WMSDs issue) A novel wearable system for the online assessment of risk for biomechanical load in repetitive efforts Int J Ind Erg 37(6):563–571
Filippeschi A, Schmitz N, Miezal M, Bleser G, Ruffaldi E, Stricker D (2017) Survey of motion tracking methods based on inertial sensors: a focus on upper limb human motion sensors (Basel) 1, 17(6)
Graham RB, Agnew MJ, Stevenson JM (2009) Effectiveness of an on-body lifting aid at reducing low back physical demands during an automotive assembly task: assessment of EMG response and user acceptability. Appl Ergon 40(5):936–942 CrossRef
Buchholz B, Park JS, Gold JE, Punnett L (2008) Subjective ratings of upper extremity exposures: inter-method agreement with direct measurement of exposures. Ergonomics 51(7):1064–1077 CrossRef
Barbero M, Merletti R, Rainoldi A (2012) Atlas of Muscle Innervation Zones. Understanding Surface Electromyography and Its Applications. Springer, Milan; New York CrossRef
Merletti R, Botter A, Troiano A, Merlo E, Minetto MA (2009) Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art. Clin Biomech (Bristol, Avon) 24:122–134 CrossRef
Caputo F, Greco A, D’Amato E, Notaro I, Spada S (2018) A preventive ergonomic approach based on virtual and immersive reality. In: Advances in intelligent systems and computing, international conference on applied human factors and ergonomics, Los Angeles (2017)
Caputo F, Greco A, D’Amato E, Notaro I, Spada S (2018) Human posture tracking system for industrial process design and assessment. In: Advances in intelligent systems and computing. 1st International conference on intelligent human systems integration: integrating people and intelligent systems, IHSI, Dubai
- Biomechanical Overload Evaluation in Manufacturing: A Novel Approach with sEMG and Inertial Motion Capture Integration
Maria Grazia Lourdes Monaco
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