Relationship Between Musculoskeletal Load and Weight of Manual Fish Handling Via 2D Simulation

Authors

  • Kodai Kitagawa Mechanical and Medical Engineering Course Department of Industrial Systems Engineering National Institute of Technology, Hachinohe College, Japan

DOI:

https://doi.org/10.14738/jbemi.96.13724

Keywords:

Fishing industry; Manual fish handling; Compression force of L5-S1; Joint torque; Weight.

Abstract

Fisherman experienced work-related musculoskeletal disorders (WMSDs) due to manual handling. Especially, manual handling for heavy fish makes physical load for fisherman. To prevent these WMSDs, fisherman should know the limit of weight in manual fish handling. Thus, the objective of this study was to find the relationship between the musculoskeletal load and weight of manual fish handling. This investigation was performed by the 2D musculoskeletal simulation. Posture of fishermen during manual fish handling on the commercial fishing boat was obtained from the Fishnet Open Images Database. Compression force of L5-S1 and joint torque of elbow, shoulder, knee, and ankle as musculoskeletal load were calculated by BlessPro2 software. The weight values of bigeye tuna, yellowfin tuna, and albacore tuna were used for this simulation. The results showed that compression force of L5-S1 and joint torque were increased with fish weight. In addition, the compression forces of L5-S1 during manual handling for bigeye tuna and yellowfin tuna were much larger than 3400 N as injury threshold of the National Institute of Occupational Safety and Health (NIOSH). These results indicate that fishermen should avoid heavy fish such as bigeye tuna and yellowfin tuna in manual fish handling for preventing WMSDs.

References

Dogelio-Naga, M.C.; Gavino, A.C.; Espineli, A.J.P. The Development of Ergonomically Designed Automatic Fishing Net to Reduce WMSDs Risk among the Small and Medium Scale Fishermen. KnE Soc. Sci. 2018, 911–922.

Dabholkar, T.A.; Nakhawa, P.; Yardi, S. Common Musculoskeletal Problem Experienced by Fishing Industry Workers. Indian J. Occup. Environ. Med. 2014, 18, 48.

Álvarez-Casado, E.; Zhang, B.; Sandoval, S.T.; Pedro, M. Using Ergonomic Digital Human Modeling in Evaluation of Workplace Design and Prevention of Work-Related Musculoskeletal Disorders Aboard Small Fishing Vessels. Hum. Factors Ergon. Manuf. Serv. Ind. 2016, 26, 463–472.

Dos Reis, D.C.; Moro, A.R.P. Assessment of Risk Factors of Upper-Limb Musculoskeletal Disorders in a Fish Processing Industry. Phys. Ergon. Hum. Factors 2022, 63, 96.

Waters, T.; Garg, A.; Putz-Anderson, V. Applications Manual for the Revised NIOSH Lifting Equation [DHHS (NIOSH) Pub No. 94-110]. Natl. Inst. Occup. Saf. Health Cincinnati OH 1994.

Yu, Y.; Li, H.; Yang, X.; Umer, W. ESTIMATING CONSTRUCTION WORKERS’PHYSICAL WORKLOAD BY FUSING COMPUTER VISION AND SMART INSOLE TECHNOLOGIES. In Proceedings of the ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction; IAARC Publications, 2018; Vol. 35, pp. 1–8.

Qin, J.; Lin, J.-H.; Faber, G.S.; Buchholz, B.; Xu, X. Upper Extremity Kinematic and Kinetic Adaptations during a Fatiguing Repetitive Task. J. Electromyogr. Kinesiol. 2014, 24, 404–411.

Lorenzini, M.; Kim, W.; De Momi, E.; Ajoudani, A. A New Overloading Fatigue Model for Ergonomic Risk Assessment with Application to Human-Robot Collaboration. In Proceedings of the 2019 International Conference on Robotics and Automation (ICRA); IEEE, 2019; pp. 1962–1968.

Latella, C.; Tirupachuri, Y.; Tagliapietra, L.; Rapetti, L.; Schirrmeister, B.; Bornmann, J.; Gorjan, D.; Čamernik, J.; Maurice, P.; Fritzsche, L. Analysis of Human Whole-Body Joint Torques during Overhead Work with a Passive Exoskeleton. IEEE Trans. Hum.-Mach. Syst. 2021.

Huysamen, K.; Power, V.; O’Sullivan, L. Kinematic and Kinetic Functional Requirements for Industrial Exoskeletons for Lifting Tasks and Overhead Lifting. Ergonomics 2020, 63, 818–830.

Fishnet.AI Available online: https://www.fishnet.ai/ (accessed on 19 October 2022).

Kay, J.; Merrifield, M. The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries. ArXiv Prepr. ArXiv210609178 2021.

BlessPro2 Available online: https://www.comp.sd.tmu.ac.jp/seolab/BlessPro2_readme.txt (accessed on 20 October 2022).

Zhu, G.; Xu, L.; Zhou, Y.; Dai, X. Length-Frequency Compositions and Weight–Length Relations for Bigeye Tuna, Yellowfin Tuna, and Albacore (Perciformes: Scombrinae) in the Atlantic, Indian, and Eastern Pacific Oceans. Acta Ichthyol. Piscat. 2008, 38, 157–161.

Gallagher, S.; Marras, W.S. Tolerance of the Lumbar Spine to Shear: A Review and Recommended Exposure Limits. Clin. Biomech. 2012, 27, 973–978.

McGill, S.M.; Norman, R.W.; Yingling, V.R.; Wells, R.P.; Neumann, P. Shear Happens! Suggested Guidelines for Ergonomists to Reduce the Risk of Low Back Injury from Shear Loading. In Proceedings of the Proceedings of the 30th annual conference of the human factors association of Canada; Mississauga Ontario, Canada, 1998; pp. 157–161.

Downloads

Published

2022-12-27

How to Cite

Kitagawa, K. (2022). Relationship Between Musculoskeletal Load and Weight of Manual Fish Handling Via 2D Simulation. British Journal of Healthcare and Medical Research, 9(6), 190–193. https://doi.org/10.14738/jbemi.96.13724