Abstract
This study aimed to evaluate the force exertion strategies during repetitive luggage lifting/lowering tasks based on time-frequency analysis. Right-handed male subjects participated in this experiment and repetitively performed a sequential task including luggage lifting and lowering for 25 times. To vary the workload on the right and left hands, the luggage used in this experiment was designed to enable the modification of the location of additional heavy goods. The experimental conditions included scenarios wherein heavy goods were installed to the right side, center, and left side on the top of the luggage and scenarios without additional heavy goods. In the experiment, the handling force on each hand was measured using two six-axis force-torque sensors at a sampling frequency of approximately 50 Hz. The measured handling forces were analyzed using a short-time Fourier transformation, and the median frequency was calculated. In the scenario where additional heavy goods were installed, the median frequency of handling force on the left hand increased whereas that on the right hand decreased with time. In conclusion, the present study clarified that participants adopted different force exertion strategies with the left and right hands or under experimental conditions and that the applied strategies can be evaluated based on time-frequency analysis.
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References
Mathiassen, S.E.: Diversity and variation in biomechanical exposure: what is it, and why would we like to know? Appl. Ergon. 37, 419–427 (2006)
Hansson, G.Å., Balogh, I., Ohlsson, K., Pålsson, B., Rylander, L., Skerfving, S.: Impact of physical exposure on neck and upper limb disorders in female workers. Appl. Ergon. 31, 301–310 (2000)
International Organization for Standardization: ISO/TR12295 Ergonomics–Application document for International Standards on manual handling (ISO11228‐1, ISO11228‐2, and ISO11228‐3) and evaluation of static working postures (ISO11226) (2014). https://www.iso.org/obp/ui/#iso:std:iso:tr:12295:ed-1:v1:en
Kinali, G., Kara, S., Yildirim, M.S.: Electromyographic analysis of an ergonomic risk factor: overhead work. J. Phys. Ther. Sci. 28, 1924–1927 (2016)
Falla, D., Farina, D.: Periodic increases in force during sustained contraction reduce fatigue and facilitate spatial redistribution of trapezius muscle activity. Exp. Brain Res. 182, 99–107 (2007)
Madeleine, P., Madsen, T.M.T.: Changes in the amount and structure of motor variability during a deboning process are associated with work experience and neck-shoulder discomfort. Appl. Ergon. 40, 887–894 (2009)
La Delfa, N.J., Potvin, J.R.: The ‘Arm Force Field’ method to predict manual arm strength based on only hand location and force direction. Appl. Ergon. 59, 410–421 (2017)
De Looze, M.P., van Greuningen, K., Rebel, J., Kingma, I., Kuijer, P.P.F.M.: Force direction and physical load in dynamic pushing and pulling. Ergonomics 43(3), 377–390 (2000)
Coorevits, P., Danneels, L., Cambier, D., Ramon, H., Vanderstraeten, G.: Assessment of the validity of the Biering-Sørensen test for measuring back muscle fatigue based on EMG median frequency characteristics of back and hip muscles. J. Electromyogr. Kinesiol. 18, 997–1005 (2008)
Politti, F., Casellato, C., Kalytczak, M.M., Garcia, M.B.S., Biasotto-Gonzalez, D.A.: Characteristics of EMG frequency bands in temporomandibullar disorders patients. J. Electromyogr. Kinesiol. 31, 119–125 (2016)
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This work was supported by JSPS KAKENHI Grant Number 19K04922.
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Hiranai, K., Yaji, M., Seo, A. (2022). Evaluation of Force Exertion Strategies During Repetitive Lifting/Lowering Tasks Based on Time-Frequency Analysis. In: Black, N.L., Neumann, W.P., Noy, I. (eds) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-030-74614-8_18
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