A new approach to applying feedforward neural networks to the prediction of musculoskeletal disorder risk

Applied Ergonomics

Volumn 31, Issue 3, 2000, Pages 269-282

  Chen, Chuen Lung ^a   Kaber, David B ^a   Dempsey, Patrick G ^b  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b LIBERTY MUTUAL RESEARCH INSTITUTE FOR SAFETY   (United States)

Author keywords

Ergonomics; Job classification; Low back disorders; Neural networks

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; ERGONOMICS; HUMAN; LOW BACK PAIN; MODEL; MUSCULOSKELETAL DISEASE; PREDICTION; REVIEW; RISK ASSESSMENT; TRAINING; WORKPLACE;

EID: 0033998890     PISSN: 00036870     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-6870(99)00055-1     Document Type: Article

References (30)

1. Aarts, E., and Korst, J., 1990. Simulated Annealing and Boltzmann Machine: A Stochastic Approach to Combinatorial Optimization and Neural Computing. J. Wiley, New York.
2. Bazaraa, M.S., Sherali, H.D., Shetty, C.M., 1993. Nonlinear Programming: Theory and Algorithms, (2nd Edition.) Wiley, New York.
3. Chen C.-L., Cotruvo N.A., Baek W. A simulated annealing solution to the cell formation problem. Int. J. Prod. Res. 33:1995;2601-2614.
4. Cheshire Engineering Corporation Neuralyst©, 1995. Version 1.4.
5. Dempsey P.G. A critical review of biomechanical, epidemiological, physiological and psychophysical criteria for designing manual materials handling tasks. Ergonomics. 41:1998;73-88.
6. Dempsey P.G., Ayoub M.M., Westfall P.H. The NIOSH lifting equations. a closer look Bitner A.C., Champney P.C. Advance in Industrial Ergonomics and Safety VII. 1995;705-712 Taylor and Francis, Bristol, PA.
7. Dempsey P.G., Burdorf A., Webster B.S. The influence of personal variables on work-related low-back disorders and implications for future research. J. Occup. Environ. Med. 39(8):1997;748-759.
8. Dempsey P.G., Westfall P.H. Developing explicit risk models for predicting low-back disability. a statistical perspective Ind. J. Ind. Ergon. 19:1997;483-497.
9. Freeman, J.A., Skapura, D.M., 1991. Neural Networks: Algorithms, Applications, and Programming Techniques Addison-Wesley, Reading, M.A.
10. Grierson, D.E., Hajela, P., (Eds.), 1996. Emergent Computing Methods in Engineering Design: Applications of Genetic Algorithms and Neural Networks. Springer, New York.
11. Hart, S.M. Chen, C.-L. 1994. Simulated annealing and the mapping problem: a computational study. Comput. Oper. Res. 21(4), 455-461.
12. Johnson D.S., Aragon C.R., McGeoch L.A., Schevan C. Optimization by simulated annealing. an experimental evaluation part I, graph partition Oper. Res. 37(6):1989;865-892.
13. Johnson, R.A., Wichern, D.W., 1992. Applied Multivariate Statistical Analysis (3rd Edition.) Prentice Hall, Englewood Cliffs, NJ.
14. Karwowski, W., Zurada, J., Marras, W.S., Gaddie, P., 1994. A prototype of the artificial neural network-based system for classification of industrial jobs with respect to risk of low back disorders. In: Aghazadeh, F. (Ed.), Advances in Industrial Ergonomics and Safety VI Taylor & Francis, Bristol, PA, pp. 19-22.
15. Killough, M.K., Crumpton, L.L., Calvert, A., Bowden, R., 1995. An investigation of using neural networks to identify the presence of carpal tunnel syndrome in the 4th Industrial Engineering Research Conference Proceedings, pp 659-667.
16. Kirkpatrick, S., Gelatt, Jr, C.D., Vecchi, M.P., 1983. Optimization by simulated annealing. Science 220, 671-681.
17. Leamon T.B. Research to reality - a consideration of the validity of various criteria for the prevention of occupationally induced low back pain disability. Ergonomics. 37(12):1994;1959-1974.
18. Marras W.S., Lavender S.A., Leurgans S., Sudhakar L.R., Allread W.G., Fathallah F., Ferguson S. The role of dynamic three-dimensional trunk motion in occupationally-related low back disorders. Spine. 18:1993;617-628.
19. Marren, A., Harston, C., Pap, R., 1990. Handbook of Neural Computing Applications. Academic Press Inc., San Diego, CA.
20. ++. Academic Press Inc., San Diego, CA.
21. Myers, R.H., 1990. Classical and Modern Regression with Applications. PWS-KENT Publishing Company, Boston.
22. Nussbaum M., Chaffin D.B. Evaluation of artificial neural network modeling to predict torso muscle activity. Ergonomics. 39(12):1996;1430-1444.
23. Remaley A.T., Sampson M.L., DeLeo J.M., Remaley N.A., Farsi B.D., Zweig M.H. prevalence-value-accuracy plots. a new method for comparing diagnostic tests based on misclassification costs Clin. Chem. 45:1999;934-941.
24. Wasserman, P.D. 1993. Advanced Methods in Neural Computing. Van Nostrand Reinhold, New York.
25. Webster B.S., Snook S.H. The cost of compensable upper extremity cumulative trauma disorders. J. Occup. Med. 36(7):1994;713-717.
26. Webster B.S., Snook S.H. The cost of 1989 workers' compensation low back pain claims. Spine. 19(10):1994;1111-1116.
27. nd edition) Harper Collins, New York.
28. Winter, G., et al (Eds.), 1995. Genetic Algorithms in Engineering and Computer Science. Wiley, Chichester.
29. Zurada, J.M. 1992. Introduction to Artificial Neural Systems West Publishing Company, St. Paul, MI.
30. Zurada, J. Karwowski, W., Marras, W.S., 1997. A neural network-based system for classification of industrial jobs with respect to risk of low back disorders due to workplace design. Appl. Ergon. 28(1), 49-58.