The MusIC method: a fast and quasi-optimal solution to the muscle forces estimation problem

References

• An K, Kwak B, Chao E, Morrey B. 1984. Determination of muscle and joint forces: a new technique to solve the indeterminate problem. J Biomech Eng. 106(4):364–367.
   PubMed Web of Science ®Google Scholar
• Brookham RL, Middlebrook EE, Grewal TJ, Dickerson CR. 2011. The utility of an empirically derived co-activation ratio for muscle force prediction through optimization. J Biomech. 44(8):1582–1587.
   PubMed Web of Science ®Google Scholar
• Buchanan TS, Lloyd DG, Manal K, Besier TF. 2004. Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. J Appl Biomech. 20(4):367–395.
   PubMed Web of Science ®Google Scholar
• Buchanan TS, Lloyd DG, Manal K, Besier TF. 2005. Estimation of muscle forces and joint moments using a forward-inverse dynamics model. Med Sci Sports Exercise. 37(11):1911–1916.
   PubMed Web of Science ®Google Scholar
• Challis J. 1997. Producing physiologically realistic individual muscle force estimations by imposing constraints when using optimization techniques. Med Eng Phys. 19(3):253–261.
   PubMed Web of Science ®Google Scholar
• Challis J, Kerwin D. 1993. An analytical examination of muscle force estimations using optimization techniques. Proc Inst Mech Eng H. 207(3):139–148.
   PubMedGoogle Scholar
• Crowninshield R, Brand R. 1981. A physiologically based criterion of muscle force prediction in locomotion. J Biomech. 14(11):793–801.
   PubMed Web of Science ®Google Scholar
• Damsgaard M, Rasmussen J, Christensen S, Surma E, de Zee M. 2006. Analysis of musculoskeletal systems in the anybody modeling system. Simul Model Pract Theory. 14(8):1100–1111.
   Web of Science ®Google Scholar
• Delp S, Anderson F, Arnold A, Loan P, Habib A, John C, Guendelman E, Thelen D. 2007. OpenSim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans Biomed Eng. 54(11):1940–1950.
   PubMed Web of Science ®Google Scholar
• Dempster W. 1955. Space requirements of the seated operator. Technical Report USAF, WADC TR-55-159
   Google Scholar
• Dumas R, Chèze L, Verriest J. 2007. Adjustments to McConville et al. and Young et al. body segment inertial parameters. J Biomech. 40(3):543–553.
   PubMed Web of Science ®Google Scholar
• Dumas R, Moissenet F, Lafon Y, Cheze L. 2014. Multi-objective optimisation for musculoskeletal modelling: application to a planar elbow model. Proc Inst Mech Eng H. 228(10):1108–1113.
   PubMed Web of Science ®Google Scholar
• Dumont G. 1995. The active set algorithm for solving frictionless unilateral contact problems. Contact mechanics. Boston (MA): Springer, p. 263–266.
   Google Scholar
• Featherstone R. 2014. Rigid body dynamics algorithms. Springer.
   Google Scholar
• Flash T, Hogan N. 1985. The coordination of arm movements: an experimentally confirmed mathematical model. J Neurosci. 5(7):1688–1703.
   PubMed Web of Science ®Google Scholar
• Forster E, Simon U, Augat P, Claes L. 2004. Extension of a state-of-the-art optimization criterion to predict co-contraction. J Biomech. 37(4):577–581.
   PubMed Web of Science ®Google Scholar
• Happee R. 1994. Inverse dynamic optimization including muscular dynamics, a new simulation method applied to goal directed movements. J Biomech. 27(7):953–960.
   PubMed Web of Science ®Google Scholar
• Herzog W. 1987. Individual muscle force estimations using a non-linear optimal design. J Neurosci Methods. 21(2–4):167–179.
   PubMed Web of Science ®Google Scholar
• Hill A. 1938. The heat of shortening and the dynamic constants of muscle. Proc R Soc B Biol Sci. 126(843):136–195.
   Web of Science ®Google Scholar
• Klein Horsman M, Koopman H, van der Helm F, Prosé L, Veeger H. 2007. Morphological muscle and joint parameters for musculoskeletal modelling of the lower extremity. Clin Biomech. 22(2):239–247.
   PubMed Web of Science ®Google Scholar
• Manal K, Gonzalez RV, Lloyd DG, Buchanan TS. 2002. A real-time EMG-driven virtual arm. Comput Biol Med. 32(1):25–36.
   PubMed Web of Science ®Google Scholar
• Maurel W, Thalmann D, Hoffmeyer P, Beylot P, Gingins P, Kalra P, Thalmann NM. 1996. A biomechanical musculoskeletal model of human upper limb for dynamic simulation. In: Computer Animation and Simulation ’96. (1):121–136.
   Google Scholar
• Murai A, Kurosaki K, Yamane K, Nakamura Y. 2010. Musculoskeletal-see-through mirror: computational modeling and algorithm for whole-body muscle activity visualization in real time. Prog Biophys Mol Biol. 103(2–3):310–317.
   PubMed Web of Science ®Google Scholar
• Pedotti A, Krishnan VV, Stark L. 1978. Optimization of muscle-force sequencing in human locomotion. Math Biosci. 38(1–2):57–76.
   Web of Science ®Google Scholar
• Pennestri E, Stefanelli R, Valentini PP, Vita L. 2007. Virtual musculo-skeletal model for the biomechanical analysis of the upper limb. J Biomech. 40(6):1350–1361.
   PubMed Web of Science ®Google Scholar
• Pontonnier C, Dumont G. 2009. Inverse dynamics method using optimisation techniques for the estimation of muscle forces involved in the elbow motion. Int J Interact Des Manuf. 3:227–235.
   Google Scholar
• Pontonnier C, Dumont G. 2010. Interpolating muscle forces in an inverse dynamics approach. Symposium on Computer Methods in Biomechanics and Biomedical Engineering; Valencia, Spain.
   Google Scholar
• Rasmussen J, Damsgaard M, Voigt M. 2001. Muscle recruitment by the min/max criterion -- a comparative numerical study. J Biomech. 34(3):409–415.
   PubMed Web of Science ®Google Scholar
• Rengifo C, Aoustin Y, Plestan F, Chevallereau C. 2010. Distribution of forces between synergistics and antagonistics muscles using an optimization criterion depending on muscle contraction behavior. J Biomech Eng. 132(4):041009.
   PubMed Web of Science ®Google Scholar
• Sartori M, Reggiani M, Farina D, Lloyd DG. 2012. EMG-driven forward-dynamic estimation of muscle force and joint moment about multiple degrees of freedom in the human lower extremity. PloS one. 7(12):e52618.
   PubMed Web of Science ®Google Scholar
• Siemienski A. 1992. Soft saturation, an idea for load sharing between muscles. Application to the study of human locomotion. In: Biolocomotion: a century of research using moving pictures. Rome: Promograph; p. 293–303.
   Google Scholar
• Song D, Lan N, Loeb G, Gordon J. 2008. Model-based sensorimotor integration for multi-joint control: development of a virtual arm model. Ann Biomed Eng. 36(6):1033–1048.
   PubMed Web of Science ®Google Scholar
• van den Bogert A, Geijtenbeek T, Even-Zohar O, Steenbrink F, Hardin E. 2013. A real-time system for biomechanical analysis of human movement and muscle function. Med Biol Eng Comput. 51(10):1069–1077.
   PubMed Web of Science ®Google Scholar
• Van Der Helm F. 1994. A finite element musculoskeletal model of the shoulder mechanism. J Biomech. 27(5):551–569.
   PubMed Web of Science ®Google Scholar
• Zajac F. 1989. Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. Crit Rev Biomed Eng. 17(4):359–411.
   PubMed Web of Science ®Google Scholar