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http://dx.doi.org/10.5143/JESK.2010.29.4.445

Biomechanical Measuring Techniques for Evaluation of Workload  

Kim, Jung-Yong (Department of Industrial and Management Engineering, Hanyang University)
Park, Ji-Soo (Department of Industrial and Management Engineering, Hanyang University)
Cho, Young-Jin (Department of Industrial and Management Engineering, Hanyang University)
Publication Information
Journal of the Ergonomics Society of Korea / v.29, no.4, 2010 , pp. 445-453 More about this Journal
Abstract
It is necessary to quantitatively evaluate the workload of workers in order to improve the level of safety and efficiency as well as to prevent workers from musculoskeletal disorders. The purpose of this study is to introduce biomechanical methods that are largely used to quantitatively evaluate workload. The biomechanical methods use kinematics and kinetics to analyze the movement and force of biomechanical body. Motion analysis, joint angle measurement, ground reaction force, mathematical model, and electromyography (EMG) were introduced as a tool or device for biomechanical evaluation. In this study, the special feature of each method was emphasized and important tips for field measurement were summarized. The information and technique disclosed in this summary can be used to evaluate and design the workplace better by effectively control the workload of field workers.
Keywords
Work Design; Work Capacity; Workload; Biomechanics; Electromyography;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Kroemer, K. H. E., Kroemer, H. J. and Kroemer-Elbert, K. E., Engineering Physiology: Bases of Human Factors/Ergonomics, 2nd ed., Van Nostrand Reinhold, New York, 1990.
2 Lavender, S. A., Oleske, D. M., Andersson, G. B. J. and Kwasny, M. J., Low-back disorder risk in automotive parts distribution, International Journal of Industrial Ergonomics, 36, 755-760, 2006.   DOI
3 Lawrence, J. H. and De Luca, C. J. H., Myoelectric signal versus force relationship in different human muscles, Journal of Applied Physiology, 54, 1653-1659, 1983.   DOI
4 Loeb, G. E. and Gans, C., ed., Signal processing and display. In G. E. Loeb and C. Gans(ed), Electromyograph for experimentalists, University of Chicago Press, Chicago, IL, 244-262, 1986.
5 Marras, W. S. and Granata, K. P., The development of an EMG-assisted model to assess spine loading during whole-body free-dynamic lifting, Journal of Electromyography and Kinesiology, 7(4), 259-268, 1997.   DOI
6 Nexgen Ergonomics, AcuPath Industrial Lumbar Motion Monitor, http://www.nexgenergo.com/ergonomics/lumvarmm.html, 2010.
7 Oberg, T., Muscle fatigue and calibration of EMG measurements. Journal of Electromyography and Kinesiology, 5(4), 239-243, 1995.   DOI
8 Oppenheim, A. V. and Schafer, R. W., Discrete-time signal processing, 2nd ed., Prentice Hall, Upper Saddle River, 1999.
9 Feyen, R., Lie, Y., Chaffin, D., Jimmerson, G. and Joseph, B., Computer-aided ergonomics: a case study of incorporating ergonomics analyses into workplace design, Applied Ergonomics, 31, 291-300, 2000.   DOI
10 Gomer, F. E., Silverstein, L. D., Berg, W. K. and Lassiter, D. L., Changes in electromyographic activity associated with occupational stress and poor performance in the workplace, Human Factors, 29, 131-143, 1987.   DOI
11 Grieve, D. W. and Davanagh, P. R., The quantitative analysis of phasic electromyograms. In J. E. Desmedt(ed), New Developments in electromyography and clinical neurophysiology, Kanger, Basel, Switzerland, 2, 489-496, 1973.
12 Hansson, G. A., Balogh, I., Ohlsson, K., Rylander, L. and Skerfving, S., Goniometer measurement and computer analysis of wrist angles and movements applied to occupational repetitive work. Journal of Electromyography and Kinesiology, 6(1), 23-35, 1996.   DOI
13 Hart, S. G. and Staveland, L. E., Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research, Advances in Psychology, 52, 139-183, 1988.   DOI
14 Inbar, G. F. and Noujaim, A. E., On surface EMG spectral characterization and its application to diagnostic classification, IEEE Transactions on Biomedical Engineering, 31, 597-604, 1984.   DOI
15 Inbar, G. F., Allin, J., Paiss, O. and Kranz, H., Monitoring surface EMG spectral changes by the zero crossing rate, Medical and Biological Engineering and Computing, 24, 10-18, 1986.   DOI
16 Johnson, P. W., Jonsson, P. and Hagberg, M., Comparison of measurement accuracy between two wrist goniometer systems during pronation and supination. Journal of Electromyography and Kinesiology, 12, 413-420, 2002.   DOI
17 조영진, 김정룡, 허리 근육의 근전도 신호 안정성이 주파수 분석에 미치는 영향, 대한인간공학회지, 29(2), 183-188, 2010.   과학기술학회마을   DOI
18 Astrand, P. O. and Rodahl, K., Textbook of Work Physiology: Physiological Bases of Exercise; 3rd ed. McGraw-Hill, New York, 1986.
19 Basmajian, J. and De Luca, C. J., Muscles Alive, 5th ed., Williams and Wilkins, Baltimore, 1985.
20 Tatiana, de O. S., Helenice, J. C. G. C. and Gert-Ake, H., Improving goniometer accuracy by compensating for individual transducer characteristics, Journal of Electromyography and Kinesiology, 19(4), August, 704-709, 2009.   DOI
21 Waters, T. R., Putz-Anderson, V. and Garg, A., Applications Manual for the Revised NIOSH Lifting Equation. Cincinneti, National Institute for Occupational Safety and Health, 1994.
22 Webber, C. L., Schmidt, M. A. and Walsh, J. M., Influence of isometric loading on biceps EMG dynamics as assessed by liner and nonlinear tools, Journal of Applied Physiology, 78(3), 814-822, 1995.   DOI
23 Blanco, S., Garcia, H., Quian, R., Quian, Q. R., Romanelli, L. and Rosso, O. A., Stationarity of the EEG series, IEEE Engineering in Medicine and Biology, 14, 395-399, 1995.   DOI   ScienceOn
24 Beck, T. W., Housh, T. J., Johnson, G. O., Weir, J. P., Cramer, J. T., Coburn, J. W. and Malek, M. H., Comparison of Fourier and wavelet transform procedures for examining mechanomyographic and electromyographic frequency versus isokinetic torque relationships, Electromyography and Clinical Neurophysiology, 45, 93-103, 2005a.
25 Beck, T. W., Housh, T. J., Johnson, G. O., Weir, J. P., Cramer, J. T., Coburn, J. W. and Malek, M. H., Comparison of Fourier and wavelet transform procedures for examining the mechanomyographic and electromyographic frequency domain responses during fatiguing isokinetic muscle actions of the biceps brachii, Journal of Electromyography and Kinesiology, 15, 190-199, 2005b.   DOI
26 Bilodeau, M., Cincera, M., Arsenault, B. A. and Gravel, D., Normality and stationarity of EMG signals of elbow flexor muscles during ramp and step isometric contractions, Journal of Electromyography and Kinesiology, 7(2), 87-96, 1997.   DOI   ScienceOn
27 Borg, G. A. V., Psychophysical Bases of Perceived Exertion, Medical Science Sports Exercise, 14(5), 377, 1982.
28 Farina, D. and Merletti, R., Comparisons of algorithms for estimation of EMG variables during voluntary isometric contractions, Journal of Electromyography and Kinesiology, 10, 337-349, 2000.   DOI
29 Yang, J. F. and Winter, D. A., Electromyography reliability in maximal and submaximal contractions, Archives of Physical Medicine and Rehabilitation, 64, 417-420, 1983.
30 Winter, D. A., Biomechanics and Motor Control of Human Movement, 3rd ed., John Wiley & Sons, Inc., Ontario, 2005.
31 Yoon, K. C., Kim, J. Y. and Sung, S. H., Spine-Pelvic Coordination Measured by Lumbar Action Meter, The Japanese Journal of Ergonomics, 44, 380-384, 2008.   DOI
32 Paiss, O. and Inbar, G. F., Autoregressive modeling of surface EMG and its spectrum with application to fatigue, IEEE Transactions on Biomedical Engineering, 34, 761-770, 1987.   DOI
33 Powers, S. K. and Howley, E. T., Exercise Physiology: Theory and Application to Fitness and Performance, 2nd ed., Brown & Benchmark Publishers, Dubuque, 1993.
34 Reid, G. B. and Nygren, T. E., The subjective workload assessment technique a scaling procedure for measuring mental workload. In: P. A. Hancock and N. Meshkati(ed), Human Mental Workload, North-Holland, New York, 185-218, 1988.
35 Strimpakos, N., Georgios, G., Eleni, K., Vasilios, K. and Jacqueline, O., Issues in relation to the repeatability of and correlation between EMG and Borg scale assessments of neck muscle fatigue. Journal of Electromyography and Kinesiology, 15, 452-465, 2005.   DOI
36 박지수, 김홍기, 최진영, 작업유형에 따른 생리학적 작업능력의 비교 분석, 대한인간공학회지, 15(2), 89-98, 1996.   과학기술학회마을
37 Sanders, M. S. and McCormick, E. J., Human Factors in Engineering and Design, 7th ed., McGraw-Hill, New York, 1992.
38 Schoenmarklin, R. W. and Marras, W. S., Effects of handle angle and work orientation on Hammering: II. Muscle fatigue and subjective ratings of body discomfort, Human Factors, 31(4), 413-420, 1989.   DOI
39 Shankar, S., Gander, R. E. and Brandell, B. R., Changes in the myoelectric signal (MES) power spectra during dynamic contractions, Electroencephalography and Clinical Neurophysiology, 73, 142-150, 1989.   DOI
40 Soderberg, G. L., ed., Selected Topics in Surface Electromyography for Use in the Occupational Setting: Expert Perspectives. Rockville, Md: US Dept of Health and Human Services, Public Health Service, Publication No. 91-100, 1992.
41 Sugimoto, H., Ishii, N., Iwata, A. and Suzumura, N., Stationarity and normality test for biomedical data, Computer Programs in Biomedicine, 7, 293-304, 1977.   DOI   ScienceOn
42 Kim, J. Y., Parnianpour, M. and Marras, W., Quantitative assessment of the control capability of the trunk muscles during oscillatory bending motion under a new experimental protocol. Clinical Biomechanics, 11(7), 385-391, 1996.   DOI
43 Kim, J., Chung, M. and Park, J., Measurement of Physical Work Capacity During Arm and Shoulder Lifting at Various Shoulder Flexion and Ad/Abduction Angles, Human Factors and Ergonomics in Manufacturing, 13(2), 153-163, 2003.   DOI