Optimal trajectory of squat to stand movement by using different cost function

Document Type : Research Paper

Authors

1 phd student...

2 professor...

Abstract

Background: The aim of this study was to determine optimal trajectory of squat to stand movement, using several different cost function.
methods: For this Purpose, the trajectories of squat to stand Movement generate by three cost functions (minimum torque, mechanical energy cost and multi-cost model). Multi-cost model was designed to reduce total torque and mechanical energy, maximum torque of the knee joint and risk of instability, simultaneously. To build model and compare with optimal trajectory, squat to stand movement of six healthy young subjects (age, 24/6 ± 1/2 years, body mass, 72/5 ± 5/2 kg, height, 177 ± 4/2 cm) were filmed. A 2-dimensional model, with four segments was built based on the governing equations of motion. After applying constraints and cost functions, genetic algorithm was used to find the optimal model.
Results: The results revealed that the mechanical energy consumption, total torque of joints, peak torque of the knee, were decrease to 2/5%, 3/5% and 43/3% respectively in multi cost pattern compared with subjects' pattern. Also compared with other methods, the trajectory which generated by multi-cost model, was safer and more similar to subject's.
Conclusion: During the optimization of different movement, the best trajectory of any task will be detected by selecting the main factors which affecting the movement and using a suitable cost function. The application areas of the proposed models could be generating optimized trajectories of squat to stand movement for clinical applications or providing clinical and engi‌neering insights to develop more efficient rehabilitation devices and protocols.

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Main Subjects


Alexander NB, Gross MM, Medell JL, Hofmeyer MR. (2001). Effects of functional ability and training on chair-rise biomechanics in older adults. Journal of the Gerontology Series A. Biological Sciences and Medical Sciences. 56(9): 538–547.
Anderson FC, Pandy MG. (2001). Dynamic optimization of human walking. Journal of Biomechanics Engineering. 123:381–390.
Biess A, Liebermann DG, Flash T. (2007). A computational model for redundant human three-dimensional pointing movements: inte­gration of independent spatial and temporal motor plans simpli­fies movement dynamics. The Journal of Neuroscience. 27: 13045–13064.
Chandler, T.J., Stone, M.H. (1991). The squat exercise in athletic conditioning: A position statement and review of the literature. Journal of Strength and Conditioning Research. 13: 51–60.
Chung H. (2009). Optimization-based dynamic prediction of 3D human running. University of Iowa. Dissertation.
Dos Santos AN, Pavao SL, Rocha NA. (2011). Sit-to-stand movement in children with cerebral palsy: A critical review. Research in Developmental Disabilities. 32: 2243–2252.
Escamilla RF, Fleisig GS, Lowry TM, Barrentine SW, Andrews JR. (2001). A three-dimensional biomechanical analysis of the squat during varying stance widths. Medicine and Science in Sports and Exercise. 33: 984–998.
Friedman J, Flash T. (2009). Trajectory of the index finger during grasping. Experimental Brain Research. 196: 497–509.
Fry, A.C., Aro, T.A., Bauer, J.A. (1993). A comparison of methods for determining kinematic properties of three barbell squat exercises. Journal of Human Movement Study. 24: 83–95.
Fujimoto M, Chou LS. (2012). Dynamic balance control during sit-to-stand movement: an examination with the center of mass acceleration. Journal of biomechanics. 2; 45(3): 543-548.
Galli M, Crivellini M, Sibella F, Montesano A, Bertocco P, Parisio C. (2000). Sit-to-stand movement analysis in obese subjects. International Journal of Obesity and Related Metabolic Disorders. 24:1488–1492.
Gundogdu O, Anderson KS, Parnianpour M. (2005). Simulation of manual materials handling: biomechanical assessment under dif­ferent lifting conditions. Technology Health Care. 13:57–66.
Hajlotfalian M, Sadeghi H, Bagherikudakani S. (2014). Optimization of soccer Instep Kick Pattern, Based on the Ball Speed. Studies in Sport Medicine. 6(16): 61-75.(Persian)
Hemmerich A, Brown H, Smith S, Marthandam S SK, Wyss UP. (2006). Hip, knee, and ankle kinematics of high range of motion activities of daily living. Journal of Orthopedic Research, 24(4): 770-781.
Konair, M. (1973). The biomechanical studies on the superposition of angular speeds in joints of lower extremities of sportsman. Balttimore, MD: University park press.
Martin L, Cahouet V, Ferry M, Fouque F. (2006). Optimization model predictions for postural coordination modes, Journal of Biomechanics, 39: 170–176.
Matsui T., Motegi M., Natsuki, T. (2016). Mathematical model for simulating human squat movements based on sequential optimization Mechanical Engineering Journal. 3(2), 15-00377.
Melanie, M. (1999). An introduction to genetic algorithms. Cambridge, Massachusetts London, England. (1999). Fifth printing: 17-150.
Nejadian SL, Rostami M, Towhidkhah F. (2008). Optimization of barbell trajectory during the snatch lift technique by using optimal control theory. American Journal Applied Science. 5(5): 524-531.
Nishii J, Taniai Y. (2009). Evaluation of trajectory planning models for arm-reaching movements based on energy cost. Neural Computation. 21: 2634–2647.
Pandy MG, Garner BA, Anderson FC. (1995). Optimal Control of Non-ballistic Muscular Movements: a constraint performance criterion for rising from a chair. Journal of Biomechanics. 117: 15-25.
Parnianpour M, Wang JL, Shirazi-Adl A, Khayatian B, Lafferriere G. (1999). A computational method for simulation of trunk motion: towards a theoretical based quantitative assessment of trunk per­formance. Biomedical Engineering. 11:27–38
Sadeghi M, Andani M, Bahrami F, Parnianpour M. (2013). Trajectory of human movement during sit to stand: a new modeling approach based on movement decomposition and multi-phase cost function. Experimental brain research. 229(2), 221-234.
Salami F, Jamshidi N. (2008). Power Enhancement of Weightlifters during Snatch through Reducing Torque on Joints by Particle Swarm Optimization. American Journal of Applied Sciences, 5(12): 1670-1675.
Savelberg HH, Fastenau A, Willems PJ, Meijer K. (2007). The load/capacity ratio affects the sit-to-stand movement strategy. Clinical Biomechanics (Bristol, Avon). 22(7): 805–812.
Winter DA. (2009). Biomechanics and Motor Control of Human Movement. (2nd Edition Ed.). John Wiley and Sons Inc. 82-107.
Xiang Y, Arora JS, Abdel-Malek K. (2010). Physics-based modeling and simulation of human walking: a review of optimization-based and other approaches. Structural and Multidisciplinary Optimization, 42(1): 1-23.
Yeadon MR, King MA, Wilson C. (2006). Modeling the maximum voluntary joint torque/angular velocity relationship in human movement, Journal of Biomechanics, 39:476–482.