Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Estimation of Muscle-tendon Model Parameters Based on a Numeric Optimization

최적화기법에 의한 근육-건 모델 파라미터들의 추정

  • Nam, Yoon-Su (Division of Mechanical and Mechatronics Engineering, Kangwon National Univ.)
  • 남윤수 (강원대학교 기계.메카트로닉스공학부)
  • Published : 2009.06.01
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Abstract

The analysis of human movement requires the knowledge of the Hill type muscle parameters, the muscle-tendon and moment arm length change as a function of joint angles. However, values of a subject's muscle parameters are very difficult to identify. It turns out from a sensitivity analysis that the tendon slack length and maximum muscle force are the two critical parameters among the Hill-type muscle model. Therefore, it could be claimed that the variation of the tendon slack length and maximum muscle force from the Delp's reference data will change the muscle characteristics of a subject remarkably. A numeric optimization method to search these tendon parameters specific to a subject is proposed, and the accuracy of the developed algorithm is evaluated through a numerical simulation.

Keywords

References

  1. Fleischer, C. and Hommel, G., "Torque Control of an exoskeletal knee with EMG signals," Proc. of the Joint Conf. on Robotics, 2006
  2. Lee, S. and Sankai, Y., "Power assist control for walking aid with HAL-3 based on EMG and Impedance adjustment around knee joint," Proc. of the 2002 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, pp. 1499-1504, 2002
  3. Bernhardt, M., Frey, M., Colombo, G. and Riener, R., "Hybrid force-position control yields cooperative behaviour of the rehabilitation robot LOKOMAT," Proc. of the 2005 IEEE 9th International Conf. on Rehabilitation Robotics, pp. 536-539, 2005
  4. Winter, D. A., "Biomechanics and motor control of human movement, 3rd Ed.," John Wiley & Sons,2005
  5. Buchanan, T. S., Lylod, D. G., Manal, K. and Besier, T. F., "Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command," Journal ofApplied Biomechanics, Vol. 20, No. 4, pp. 367-395, 2004
  6. Jacob, R. and van Ingen Schenau, G. J., "Control of external force in leg extensions in humans," Journal of Physiology, Vol. 457, pp. 611-626, 1992 https://doi.org/10.1113/jphysiol.1992.sp019397
  7. Buford, W. L., Ivey, F. M., Malone, J. D., Patterson, R. M., Pearce, G. L., Nguyen, D. K. and Stewart, A. A., "Muscle balance at the knee - moment arms for the normal; knee and the ACL-minus knee," IEEE Transactions on Rehabilitation Engineering, Vol. 5, No. 4, pp. 367-379, 1997 https://doi.org/10.1109/86.650292
  8. Visser, J. J., Hoogkamer, J. E., Bobbert, M. F. and Huijing, P. A., "Length and moment arm of human leg muscles as a function of knee and hip-joint angles," European Journal of Applied Physiology and Occupational Physiology, Vol. 61, No. 5-6, pp. 453-460, 1999 https://doi.org/10.1007/BF00236067
  9. Blemker, S. S. and Delp, S. L., "Rectus femoris and vastus intermedius fiber excursions predicted by three-de\imensional muscle models," Journal ofBiomechanics, Vol. 39, No. 8, pp. 1383-1391, 2006 https://doi.org/10.1016/j.jbiomech.2005.04.012
  10. Menegaldo, L. L., de Toledo Fleury, A. and Weber, H. I., "Moment arms and musculotendon lengths estimation for a three-dimensional lower limb model," Journal of Biomechanics, Vol. 37, No. 9, pp. 1447-1453, 2004 https://doi.org/10.1016/j.jbiomech.2003.12.017
  11. Delp, S. L., "Surgery simulation: A computer graphics system to analyze and designmusculoskeletal reconstructions of the lower limb," Ph. D. Dissertation, Department of MechanicalEngineering, Stanford University, 1990
  12. Anderson, D. E., Madigan, M. L. and Nussbaum, M. A., "Maximum voluntary joint torque as a function of joint angle and angular velocity: model developmentand application to the lower limb," Journal of Biomechanics, Vol. 40, No. 14, pp. 3105-3113, 2007 https://doi.org/10.1016/j.jbiomech.2007.03.022
  13. Erdemir, A., McLean, S., Herzog, W. and Bogert, A. J., "Model based estimation of muscle forces exerted during movements," Clinical Biomechanics, Vol. 22,No. 2, pp. 131-154, 2007 https://doi.org/10.1016/j.clinbiomech.2006.09.005
  14. Bogey, R. A., Perry, J. and Gitter, A. J., "An EMG to force processing approach for determining ankle muscle forces during normal human gait," IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol. 13, No. 3, pp. 302-310, 2005 https://doi.org/10.1109/TNSRE.2005.851768
  15. Amarantini, D. and Martin, L., "A method to combine numerical optimization and EMG data for the estimation of joint moments under dynamics conditions," Journal of Biomechanics, Vol. 37, No. 9, pp. 1393-1404, 2004 https://doi.org/10.1016/j.jbiomech.2003.12.020
  16. Cho, H. S., Bae, T. S., Kang, S. J., Lee, J. Y. and Mun,M. S., "Bio-mechanical Study on Human MusclePapameters," J. of KSPE, Vol. 22, No. 11, pp. 16-23,2005
  17. Garner, B. A. and Pandy, M. G., "Estimation of musculotendon properties in the human upper limb," Annals of Biomedical Engineering, Vol. 31, No. 2, pp. 207-220, 2003 https://doi.org/10.1114/1.1540105
  18. Manal, K. and Buchanan T. S., "Subject-specific estimates of tendon slack length: A numerical method," Journal of Applied Biomechanics, Vol. 20, No. 2, pp. 195-203, 2004