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Articles

Optimal control simulation predicts effects of midsole materials on energy cost of running

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Pages 869-879 | Received 20 Jun 2018, Accepted 26 Mar 2019, Published online: 16 Apr 2019

References

  • Cheung JT-M, Zhang M. 2006. Finite element modeling of the human foot and footwear. In ABAQUS Users’ Conference, 145–159.
  • Cole GK, Nigg BM, van den Bogert AJ, Gerritsen KGM. 1996. Lower extremity joint loading during impact in running. Clin Biomech. 11(4):181–193.
  • Dorn TW, Wang JM, Hicks JL, Delp SL. 2015. Predictive simulation generates human adaptations during loaded and inclined walking. PLoS One. 10(4):e0121407.
  • Esposito ER, Miller RH. 2018. Maintenance of muscle strength retains a normal metabolic cost in simulated walking after transtibial limb loss. PLoS One. 13(1):e0191310.
  • Fukuchi RK, Fukuchi CA, Duarte M. 2017. A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics. PeerJ. 5:e3298.
  • Gerritsen KGM, van den Bogert AJ, Nigg BM. 1995. Direct dynamics simulation of the impact phase in heel-toe running. J Biomech. 28(6):661–668.
  • Hamner S, Seth A, Delp S. 2010. Muscle contributions to propulsion and support during running. J Biomech. 43(14):2709–2716.
  • Hamner SR, Delp SL. 2013. Muscle contributions to fore-aft and vertical body mass center accelerations over a range of running speeds. J Biomech. 46(4):780–787.
  • Hannah I, Harland A, Price D, Schlarb H, Lucas T. 2016. Evaluation of a kinematically-driven finite element footstrike model. J Appl Biomech. 32(3):301–305.
  • Hasson CJ, Caldwell GE. 2012. Effects of age on mechanical properties of dorsiflexor and plantarflexor muscles. Ann Biomed Eng. 40(5):1088–1101.
  • Hoogkamer W, Kipp S, Spiering BA, Kram R. 2016. Altered running economy directly translates to altered distance-running performance. Med Sci Sports Exerc. 48(11):2175–2180.
  • Kim S, Cho J, Choi J, Ryu S, Jeong W. 2012. Coupled foot-shoe-ground interaction model to assess landing impact transfer characteristics to ground condition. Inter Multiscale Mech. 5(1):75–90.
  • Lin Y-C, Walter JP, Pandy MG. 2018. Predictive simulations of neuromuscular coordination and joint-contact loading in human gait. Ann Biomed Eng. 46:1216–1227.
  • Miller RH, Hamill J. 2009. Computer simulation of the effects of shoe cushioning on internal and external loading during running impacts. Comput Methods Biomech Biomed Eng. 12(4):481–490.
  • Miller RH, Hamill J. 2015. Optimal footfall patterns for cost minimization in running. J Biomech. 48(11):2858–2864.
  • Mombaur K, Truong A, Laumond J-P. 2010. From human to humanoid locomotion–an inverse optimal control approach. Auton Robot. 28(3):369–383.
  • Nigg BM. 2010. Biomechanics of sport shoes. Calgary: University of Calgary.
  • Nigg BM, Vienneau J, Smith AC, Trudeau MB, Mohr M, Nigg SR. 2017. The preferred movement path paradigm: influence of running shoes on joint movement. Med & Sci Sports & Exercise. 49(8):1641–1648.
  • Rubenson J, Heliams DB, Maloney SK, Withers PC, Lloyd DG, Fournier PA. 2007. Reappraisal of the comparative cost of human locomotion using gait-specific allometric analyses. J Exp Biol. 210(20):3513–3524.
  • Umberger BR. 2010. Stance and swing phase costs in human walking. J R Soc Interface. 7(50):1329–1340.
  • Umberger BR, Gerritsen KG, Martin PE. 2003. A model of human muscle energy expenditure. Comput Methods Biomech Biomed Eng. 6(2):99–111.
  • van den Bogert AJ, Blana D, Heinrich D. 2011. Implicit methods for efficient musculoskeletal simulation and optimal control. Procedia IUTAM. 2:297–316.
  • van den Bogert AJ, Hupperets M, Schlarb H, Krabbe B. 2012. Predictive musculoskeletal simulation using optimal control: effects of added limb mass on energy cost and kinematics of walking and running. Proc Inst Mech Eng Pt P J Sports Eng Technol. 226(2):123–133.
  • Wächter A, Biegler LT. 2006. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math Program. 106(1):25–57.
  • Wakeling J, Pascual S, Nigg B. 2002. Altering muscle activity in the lower extremities by running with different shoes. Med Sc Sports Exerc. 34(9):1529.
  • Wang JM, Hamner SR, Delp SL, Koltun V. 2012. Optimizing locomotion controllers using biologically-based actuators and objectives. ACM Trans Graph. 31(4):1–11.
  • Winter DA. 2009. Biomechanics and motor control of human movement. Hoboken, NJ: John Wiley & Sons.
  • Worobets J, Wannop JW, Tomaras E, Stefanyshyn D. 2014. Softer and more resilient running shoe cushioning properties enhance running economy. Footwear Sc. 6(3):147–153.
  • Wright I, Neptune R, Van den Bogert AJ, Nigg B. 1998. Passive regulation of impact forces in heel-toe running. Clin Biomech. 13(7):521–531.

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