A physiology-based inverse dynamic analysis of human gait using sequential convex programming: A comparative study

Computer Methods in Biomechanics and Biomedical Engineering

Volumn 15, Issue 10, 2012, Pages 1093-1102

  de Groote, F ^a   Demeulenaere, B ^a   Swevers, J ^a   de Schutter, J ^a   Jonkers, I ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

dynamic simulations; gait; motion analysis; muscle control; optimisation

Indexed keywords

COMPARATIVE STUDIES; COMPUTATIONAL TIME; CONTROL SUBJECT; GAIT; GAIT CYCLES; HUMAN GAIT; INVERSE APPROACH; INVERSE DYNAMIC ANALYSIS; JOINT TORQUES; MOTION ANALYSIS; MUSCLE ACTIVATION; NONLINEAR OPTIMISATION; OPTIMISATIONS; PERFORMANCE CRITERION; ROOT MEAN SQUARE ERRORS; SIMPLIFYING ASSUMPTIONS;

CHEMICAL ACTIVATION; COMPUTER SIMULATION; ELECTROMYOGRAPHY; MEAN SQUARE ERROR; OPTIMIZATION; PHYSIOLOGY;

MUSCLE;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; GAIT; HUMAN; JOINT; LEG; MUSCLE CONTRACTION; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE;

ALGORITHMS; COMPUTER SIMULATION; GAIT; HUMANS; JOINTS; LEG; MODELS, BIOLOGICAL; MUSCLE CONTRACTION; MUSCLE, SKELETAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84866334259     PISSN: 10255842     EISSN: 14768259     Source Type: Journal    
DOI: 10.1080/10255842.2011.571679     Document Type: Article

References (20)

1. Anderson, F and Pandy, M. 2001a. Static and dynamic optimization solutions for gait are practically equivalent. J Biomech, 34(2): 153-161.
2. Anderson, F and Pandy, M. 2001b. Dynamic optimization of human walking. J Biomech Eng, 123(5): 381-390.
3. Betts, J. 2001. "Optimal control preliminaries". In Practical methods for optimal control using nonlinear programming, 61-79. Philadelphia, PA: SIAM.
4. Byrd, RH, Nocedal, J and Waltz, RA. 2006. "KNITRO: an integrated package for nonlinear optimization". In Large-scale nonlinear optimization, 35-59. New York: Springer-Verlag.
5. Crowninshield, R and Brand, R. 1981. A physiologically based criterion of muscle force prediction in locomotion. J Biomech, 14(11): 793-801.
6. De Groote, F, De Laet, T, Jonkers, I and De Schutter, J. 2008. Kalman smoothing improves the estimation of joint kinematics and kinetics in marker-based human gait analysis. J Biomech, 41(16): 3390-3398.
7. De Groote, F, Pipeleers, G, Jonkers, I, Demeulenaere, B, Swevers, J and De Schutter, J. 2009. A physiology based inverse dynamics analysis of human gait: potential and perspectives. Comput Methods Biomech Biomed Engin, 11(5): 563-574.
8. Delp, S, Anderson, F, Arnold, A, Loan, P, Habib, A, John, C, Guendelman, E and Thelen, D. 2007. OpenSim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans Biomed Eng, 54(11): 1940-1950.
9. Delp, S, Loan, J, Hoy, M, Zajac, F, Topp, E and Rosen, J. 1990. An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures. IEEE Trans Biomed Eng, 37(8): 757-767.
10. Hatze, H. 1976. The complete optimization of human motion. Math Biosci, 28: 99-135.
11. Lieber, R, ed. 1992. Skeletal muscle structure and function: implications for rehabilitation and sports medicine, Baltimore: Williams and Wilkins.
12. Pipeleers, G, Demeulenaere, B, Jonkers, I, Spaepen, P, Van der Perre, G, Spaepen, A, Swevers, J and De Schutter, J. 2008. Dynamic simulation of human motion: numerically efficient inclusion of muscle physiology by convex optimization. Optim Eng, 9(3): 213-238.
13. Raasch, C, Zajac, F, Ma, B and Levine, W. 1997. Muscle coordination of maximum-speed pedaling. J Biomech, 30(6): 595-602.
14. Schutte, L, Rodgers, M, Zajac, F and Glaser, R. 1993. Improving the efficacy of electrical stimulation-induced leg cycle ergometry: an analysis based on a dynamic musculo-skeletal model. IEEE Trans Rehabil Eng, 1: 109-125.
15. Seth, A and Pandy, M. 2007. A neuromuscular tracking method for estimating individual muscle forces in human movement. J Biomech, 40(2): 356-366.
16. Thelen, D and Anderson, F. 2006. Using computed muscle control to generate forward dynamic simulations of human walking from experimental data. J Biomech, 39(6): 1107-1115.
17. Yamaguchi, G and Zajac, F. 1989. A planar model of the knee joint to characterize the knee extensor mechanism. J Biomech, 22(1): 1-10.
18. Yamaguchi, G and Zajac, F. 1990. Restoring unassisted natural gait to paraplegics via functional neuromuscular stimulation: a computer simulation study. IEEE Trans Biomed Eng, 37(9): 886-902.
19. Yamaguchi, G, Moran, D and Si, J. 1995. A computational efficient method for solving the redundant problem in biomechanics. J Biomech, 28(8): 999-1005.
20. Zajac, FE. 1989. Muscle and tendon: properties, models, scaling and application to biomechanics and motor control. Crit Rev Biomed Eng, 17(4): 359-411.