Abstract
Today, the accurate assessment of muscle forces performed by the human body in motion is still expected for many clinical applications and studies. However, as most of the joints are overactuated by several muscles, any non-invasive muscle force quantification needs to solve a redundancy problem. Consequently, the aim of this study is to propose a non-invasive method to assess muscle forces in the human body during motion, using a multibody model-based optimization process that attempts to solve the agonistic and antagonistic muscle overactuation. The main originality of the proposed method is the cautious using of Electromyographic (EMG) data information, known by all to be noisy-corrupted, via a protocol divided into two main steps:
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Muscle force static calibration,
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Muscle force dynamical quantification.
In this chapter, the process is applied to a benchmark case: the force quantification of the elbow flexor and extensor muscle sets of subjects engaged in weightlifting and performing cycles of forearm flexion/extension. A statistical validation of this method shows a good inter-test reproducibility and a very good correlation between a. the net joint torques resulting from the obtained muscle forces and b. the net joint torques given by inverse dynamics.Consequently, since the method is able to consider measured information on the actual muscle activation, it becomes a promising alternative to methods based on preset strategies, usually presented in literature, such as the strategy that maximizes endurance defined by Crowninshield et al.
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Notes
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momentarily blocked.
References
Amarantini D (2003) Estimation des Efforts Musculaires Partir des Donnes Priphriques: Application l’Analyse de la Coordination Pluri-Articulaire. Thesis of the Universit Joseph Fourier, Grenoble, France
Anderson FC, Pandy MG (2001) Dynamic optimization of human walking. J Biomech Eng 123(5):381–390
Bao H, Willems PY (1999) On the kinematic modelling and the parameter estimation of the human shoulder. J Biomech 32:943–950
Blajer W, Czaplicki A (2001) Modeling and inverse simulation of somersaults on the trampoline. J Biomech 34(12):1619–1629
Bouisset S (2002) Biomécanique et physiologie du mouvement. Abrégés, Editions Masson, Paris, France
Bouisset S, Le Bozec S, Ribreau C (2002) Postural dynamics in maximal isometric ramp efforts. Biol Cybern 87(3):211–219
BTS Bioengineering (2010). http://www.btsbioengineering.com/
Buchanan TS, Lloyd DG, Besier TF (2004) Neuromusculoskeletal modeling: estimation of muscle forces moments and movements measurements of neural command. J Appl Biomech 20:367–395
Cappozzo A, Leo T, Pedotti A (1975) A general computing method for the analysis of human locomotion. J Biomech 8:307–320
Challis JH, Kerwin DG (1996) Quantification of the uncertainties in resultant joint moments computed in a dynamic activity. J Sports Sci 14:219–231
Chenut X, Fisette P, Samin JC (2002) Recursive formalism with a minimal dynamic parametrization for the identification and simulation of multibody systems. Application to the Human Body. Multibody Syst Dyn 8:117–140
Chze L, Fregly BJ, Dimnet J (1995) A solidification procedure to facilitate kinematic analyses based on video system data. J Biomech 28:879–884
Crowninshield RD, Brand RA (1981) A physiologically based criterion of muscle force prediction in locomotion. J Biomech 14(11):793–801
Debril JF, Pudlo P, El Menceur M, Gorce P, Lepoutre FX (2007) Human articulation efforts estimation in the automobile vehicle accessibility movement – A pilot study. In: Proceedings of the 1st international conference on digital human modeling, computer science, Beijing, China, 22–27 July
De Groote F, Pipeleers G, Demeulenaere B, Jonckers I, Spaepen P, Swevers J, De Schutter J (2006) A convex optimization approach to dynamic musculoskeletal analysis. In: Proceedings CD of the 6th national congress on theoretical and applied mechanics, Ghent, Belgium, 29–30 May
De Groote F, Pipeleers G, Jonkers I, Demeulenaere B, Swevers J, De Schutter J (2007) Physiology based inverse dynamic analysis of normal and hemiparetic gait. In: Proceedings of the 16th annual meeting of ESMAC, gait & posture 26(S17), Athens, Greece, 24–29 September
De Jalón G, Bayo E (1993) Kinematic and dynamic simulation of multibody systems: the real-time challenge. Springer, New York
De Leva P (1996) Adjustments to zatsiorsky-seluyanov’s segment inertia parameters. J Biomech 29(9):1223–1230
Denoth J, Gruber K, Ruder H, Keppler M (1984) Forces and torques during sport activities with high accelerations. Perren SM, Scnheider E (eds) Biomechanics current interdisciplinary research. Martinuis Nijhoff Publishers, Dodrecht, Netherlands, pp 663–668
Dul J, Johnson GE, Shiavi R, Townsend MA (1984) Muscular synergism II. A minimum-fatigue criterion for load sharing between synergistic muscles. J Biomech 17(9):675–84
Epstein M, Herzog W (1998) Theoretical models of skeletal muscle. Wiley, Chichester, England
Gergersen CS, Hull ML (2003) Non-driving intersegmental knee moments in cycling computed using a model that includes three-dimensional kinematics of the shank/foot and the effect of simplifying assumptions. J Biomech 36:803–813
He J, Levine WS, Loeb GE (1991) Feedback gains for correcting small perturbations to standing posture. IEEE T Automat Contr 36:322–332
Holzbaur KRS, Murray WM, Delp SL (2005) A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control. Ann Biomed Eng 33(6): 829–840
Lloyd DG, Bessier TF (2003) An emg-driven musculoskeletal model to estimate muscle forces and knee joint moment in vivo. J Biomech 36:765–776
Nigg BM, Herzog W (eds) (1999) Biomechanics of the musculo-skeletal system, 2nd edn. Chichester, England, and Wiley, New York
Penrod DD, Davy DT, Singh DP (1974) An optimization approach to tendon force analysis. J Biomech 7:123–129
Pérez M, Ausejo S, Pargada J, Suescun A, Celigeta JT (2003) Application of multibody system analysis for the evaluation of the driver’s discomfort. In: Proceedings of the multibody dynamics, Lisbon, Portugal, 1–4 July
Raasch CC, Zajac FE, Ma B, Levine WS (1997) Muscle coordination of maximum-speed pedaling. J Biomech 30(6):595–602
Raison M, Aubin CE, Detrembleur C, Fisette P, Samin JC (2008) Quantification of intervertebral efforts during walking: comparison between a healthy and a scoliotic subject. Stud Health Tech Informat 140:61–64
Raison M, Detrembleur C, Fisette P, Samin JC, Willems PY (2005) Determination of joint kinematics and dynamics in the human body: application to a subject getting up from a seat. In: Proceedings of Eccomas thematic conference on advances in computational multibody dynamics, Madrid, Spain, 21–24 June
Raison M, Detrembleur C, Fisette P, Samin JC, Willems PY (2006) Estimation of human muscular efforts using a model based optimization method. In: Proceedings CD of the 7th national congress on theoretical and applied mechanics, Mons, Belgium, 29–30 May
Raison M, Gaudez C, Le Bozec S, Willems PY (2007) Determination of joint efforts in the human body during maximum ramp pushing efforts. J Biomech 40(3):627–33
Samin JC, Fisette P (2003) Symbolic modeling of multibody systems. Kluwer, Dordrecht, Netherlands
Seireg A, Arvikar RJ (1973) A mathematical model for evaluation of force in lower extremities of the musculo-skeletal system. J Biomech 6:313–326
Silva M, Ambrósio J (2004) Sensitivity of the results produced by the inverse dynamic analysis of a human stride to perturbed input data. Gait Posture 19(1):35–49
Silva M, Ambrósio J, Pereira M (1997) A multibody approach to the vehicle and occupant integrated simulation. Int J Crashworthines 2(1):73–90
Thelen DG (2003) Adjustment of muscle mechanics model parameters to simulate dynamic contractions in older adults. Trans ASME 125:70–77
Umberger BR, Gerritsen KGM, Martin PE (2003) A model of human energy expenditure. Comput Meth Biomech Biomed Eng 6(2):99–111
Venture G, Yamane K, Nakamura Y (2005) Identifying musculo-tendon parameters of human body based on the musculo-skeletal dynamics computation and Hill-Stroeve muscle model. In: Proceedings of 5th IEEE-RAS international conference on humanoid robots, Tsukuba, Japan, 5–7 December
Weber W, Weber E (1836) Mechanik der Menschlichen Gehwerkzauge, Gottingen. Gottinger, Germany
Willems PY (ed) (1979) Introduction la mcanique. Masson, Paris, France
Winters JM (1990) Hill-based muscle models: a systems engineering perspective. Winters JM, Woo SLY (eds) Multiple muscle systems: biomechanics and movement organization. Springer, New York
Winters JM (1995) An improved muscle-reflex actuator for use in large-scale neuromusculoskeletal models. Ann Biomed Eng 23:359–374
Zacher I (2004) Strength Based Discomfort Model of Posture and Movement. In: Proceedings of the SAE international digital human modelling conference, Rochester, Michigan, USA, 15–17 June
Zajac FE (1989) Muscle and tendon: properties, models, scaling and application to biomechanics and motor control. Crit Rev Biomed Eng 17(4):359–411
Acknowledgements
The authors are grateful to Pr. P.Y. Willems, Emeritus of the Université catholique de Louvain, Louvain-la-Neuve, Belgium, for his help and support.
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Raison, M., Detrembleur, C., Fisette, P., Samin, JC. (2011). Assessment of Antagonistic Muscle Forces During Forearm Flexion/Extension. In: Arczewski, K., Blajer, W., Fraczek, J., Wojtyra, M. (eds) Multibody Dynamics. Computational Methods in Applied Sciences, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9971-6_11
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