MVC 상태에서의 무릎관절 모멘트 추정을 위한 모델 개발
Development of a model for the estimation of knee joint moment at MVC
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This paper introduces a method of estimating the knee joint moment developed during MVC. By combining the Hill-type muscle model and analytic results on moment arm and musculotendon length change as a function of hip and knee joint angle, the knee joint moment at a specific knee joint angle during MVC is determined. Many differences between the estimated results and the experimental data are noted. It is believed that these differences originate from inaccurate information on the muscle-tendon parameters. The establishment of exact values for the subject’s muscle parameters is almost impossible task. However, sensitivity analysis shows that the tendon slack length is the most critical parameter when applying the Hill-type muscle model. The effect of a change of this parameter on the muscle length force relationship is analyzed in detail.
Abstract
This paper introduces a method of estimating the knee joint moment developed during MVC. By combining the Hill-type muscle model and analytic results on moment arm and musculotendon length change as a function of hip and knee joint angle, the knee joint moment at a specific knee joint angle during MVC is determined. Many differences between the estimated results and the experimental data are noted. It is believed that these differences originate from inaccurate information on the muscle-tendon parameters. The establishment of exact values for the subject’s muscle parameters is almost impossible task. However, sensitivity analysis shows that the tendon slack length is the most critical parameter when applying the Hill-type muscle model. The effect of a change of this parameter on the muscle length force relationship is analyzed in detail.
참고문헌 (12)
- C. Fleischer, "Torque Control of an exoskeletal knee with EMG signals", Proceedings of the Joint Conf. on Robotics: ISR 2006 and Robotik 2006 (2006)
- S. Lee, "Power assist control for walking aid with HAL-3 based on EMG and Impedance adjustment around knee joint", Proc. of the 2002 IEEE, 2002, 1499~1504
- M. Bernhardt, "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)
- D. A. Winter, "Biomechanics and motor control of human movemen" (2005), John Wiley & Sons
- T. S. Buchanan, "Neuromusculoskeletal modeling:estimation of muscle forces and joint moments and movements from measurements of neural command", Journal of applied biomechanics, 20, pp.367~395 (2004)
- R. Jacob, "Control of external force in leg extensions in humans", Journal of Physiology, 457, pp.611~626 (1992)
- W. Buford, "Muscle balance at the knee moment arms for the normal; knee and the ACL-minus knee", IEEE Transactions on Rehabilitation Engineering, 5(4), pp.367~379 (1997)
- J. J. Visser, "Length and moment arm of human leg muscles as a function of knee and hip-joint angles", European Journal of Applied Physiology, 61, pp.453~460 (1990)
- S. S. Blemker, "Rectus femoris and vastus intermedius fiber excursions predicted by three-de\imensional muscle models", Journal of Biomechanics, 39, pp.1383~1391 (2006)
- L. L. Menegaldo, "Moment arms and musculotendon lengths estimation for a three-dimensional lower limb model", Journal of Biomechanics, 37, pp.1447~1453 (2004)
- S. L. Delp, "Surgery simulation: A computer graphics system to analyze and design musculoskeletal reconstructions of the lower limb", 박사, pp.1990
- D. E. Anderson, "Maximum voluntary joint torque as a function of joint angle and angular velocity: model development and application to the lower limb", Journal of Biomechanics