Development of a Musculotendon Model Within the Framework of Multibody Systems Dynamics

Human movement is the result of a complex and synergistic interaction between the musculoskeletal and the central nervous system. As result, muscles contract coordinately to produce forces that are transmitted by tendons to the skeletal system, causing its movement or keeping its pose. Often neglected in current muscle models, the elastic properties of tendons play a significant role in the dynamic interaction between the muscular and skeletal systems, influencing the force transmission, energy storage and transfer, and joint control. The aim of this work is to present in detail the necessary steps to incorporate a musculotendon model in the framework of a multibody systems dynamics formulation. A methodology to compute the musculotendon forces and activations is presented based on the use of a Hill-type muscle model assembled in series with a spring-like element defined according to the elastic properties of the tendon. The proposed methodology can be applied, without significant changes, to both inverse and forward dynamic analyses of biomechanical systems. Three daily activities with different levels of musculotendon recruitment are analyzed from an inverse dynamics perspective. The selected activities are walking, running and jumping. The movement data characterizing these activities were acquired experimentally in a movement laboratory. A 3D biomechanical model of the human body, described with natural coordinates and encompassing 43 musculotendon actuators per leg, is proposed to assess the performance of the presented musculotendon model and of its incorporation on the referred multibody dynamics framework. The influence of the introduction of a compliant tendon model on the produced muscle forces and activation patterns is analyzed in face of those same results produced by the same biomechanical model defined with infinitely stiff (or rigid) tendons. Results revealed that the introduction of the tendon model allows muscles to work, predominantly, on their optimal configuration as the dynamic equilibrium generated between muscle and tendon prevents the muscle from support all musculotendon deformation. This not only reduces the activations needed to perform the required contractile forces but it also considerably prevents the development of non-physiological passive forces.

[1]  Matthew Millard,et al.  Flexing computational muscle: modeling and simulation of musculotendon dynamics. , 2013, Journal of biomechanical engineering.

[2]  R. R. Neptune,et al.  Muscle Activation and Deactivation Dynamics: The Governing Properties in Fast Cyclical Human Movement Performance? , 2001, Exercise and sport sciences reviews.

[3]  J. Michael Textbook of Medical Physiology , 2005 .

[4]  S L Delp,et al.  A graphics-based software system to develop and analyze models of musculoskeletal structures. , 1995, Computers in biology and medicine.

[5]  R. Woledge,et al.  Influence of temperature on mechanics and energetics of muscle contraction. , 1990, The American journal of physiology.

[6]  H. Herr,et al.  Adaptive control of a variable-impedance ankle-foot orthosis to assist drop-foot gait , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  Javier Moreno-Valenzuela,et al.  Switched control of mechanical systems by using musculotendon actuators , 2009, 2009 American Control Conference.

[8]  Akinori Nagano,et al.  Evaluation of the influence of muscle deactivation on other muscles and joints during gait motion. , 2004, Journal of biomechanics.

[9]  Maxime Raison,et al.  On the quantification of joint and muscle efforts in the human body during motion , 2009 .

[10]  Miguel T. Silva,et al.  A Biomechanical Multibody Model with a Detailed Locomotion Muscle Apparatus , 2005 .

[11]  Javier García de Jalón,et al.  Kinematic and Dynamic Simulation of Multibody Systems , 1994 .

[12]  R. Brand,et al.  The biomechanics and motor control of human gait: Normal, elderly, and pathological , 1992 .

[13]  Henry F. Epstein Skeletal Muscle Structure and Function , 1998 .

[14]  M. Pandy,et al.  The Obstacle-Set Method for Representing Muscle Paths in Musculoskeletal Models , 2000, Computer methods in biomechanics and biomedical engineering.

[15]  Wayne E. Carlson,et al.  Anatomy-based modeling of the human musculature , 1997, SIGGRAPH.

[16]  J. Stephens,et al.  Fatigue of maintained voluntary muscle contraction in man , 1972, The Journal of physiology.

[17]  R. B. Davis,et al.  A gait analysis data collection and reduction technique , 1991 .

[18]  L. F. Frey Law,et al.  A theoretical approach for modeling peripheral muscle fatigue and recovery. , 2008, Journal of biomechanics.

[19]  Hartmut Witte,et al.  ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion--part I: ankle, hip, and spine. International Society of Biomechanics. , 2002, Journal of biomechanics.

[20]  T. Dao,et al.  Biomechanics of the Musculoskeletal System , 2014 .

[21]  A. Seaber,et al.  Viscoelastic properties of muscle-tendon units , 1990, The American journal of sports medicine.

[22]  David G Lloyd,et al.  Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. , 2004, Journal of applied biomechanics.

[23]  David G Lloyd,et al.  Estimation of muscle forces and joint moments using a forward-inverse dynamics model. , 2005, Medicine and science in sports and exercise.

[24]  D. Thelen Adjustment of muscle mechanics model parameters to simulate dynamic contractions in older adults. , 2003, Journal of biomechanical engineering.

[25]  Robert A Robleto An analysis of the musculotendon dynamics of Hill-based models , 1997 .

[26]  Jack M. Winters,et al.  Multiple Muscle Systems , 1990, Springer New York.

[27]  A. Guyton,et al.  Textbook of Medical Physiology , 1961 .

[28]  F. Amirouche Fundamentals Of Multibody Dynamics. Theory And Applications , 2005 .

[29]  Murray Griffin,et al.  Introduction to Sports Biomechanics , 2013 .

[30]  A F Pereira,et al.  Implementation of an efficient muscle fatigue model in the framework of multibody systems dynamics for analysis of human movements , 2011 .

[31]  Nikolaos Aravas,et al.  Muscle and Tendon Tissues: Constitutive Modeling and Computational Issues , 2011 .

[32]  F. Zajac,et al.  A musculoskeletal model of the human lower extremity: the effect of muscle, tendon, and moment arm on the moment-angle relationship of musculotendon actuators at the hip, knee, and ankle. , 1990, Journal of biomechanics.

[33]  André F. Pereira,et al.  Development of a Hill-Type Muscle Model With Fatigue for the Calculation of the Redundant Muscle Forces using Multibody Dynamics , 2009 .

[34]  Miloslav Vilimek Musculotendon forces derived by different muscle models. , 2007, Acta of bioengineering and biomechanics.

[35]  Marko Ackermann,et al.  Dynamics and Energetics of Walking with Prostheses , 2007 .

[36]  F. Zajac Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.

[37]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[38]  C. Maganaris,et al.  Human tendon behaviour and adaptation, in vivo , 2008, The Journal of physiology.

[39]  Thomas S. Buchanan,et al.  BIOMECHANICS OF HUMAN MOVEMENT , 2005 .

[40]  Y. Dewoody The Role of Musculoskeletal Dynamics and Neuromuscular Control in Stress Development in Bone , 2013 .

[41]  H. Grootenboer,et al.  A Hill type model of rat medial gastrocnemius muscle that accounts for shortening history effects. , 1998, Journal of biomechanics.

[42]  Joseph W. Coltman,et al.  Computer Simulation of an Aircraft Seat and Occupant in a Crash Environment. Volume 2. Program SOM-LA (Seat/Occupant Model - Light Aircraft) User Manual , 1983 .

[43]  Francisco Romero,et al.  Validation of an artificially activated mechanistic muscle model by using inverse dynamics analysis , 2015 .

[44]  Javier García de Jalón,et al.  Kinematic and Dynamic Simulation of Multibody Systems: The Real Time Challenge , 1994 .

[45]  W. Herzog,et al.  Force enhancement following stretching of skeletal muscle: a new mechanism. , 2002, The Journal of experimental biology.

[46]  A. Huxley Muscle structure and theories of contraction. , 1957, Progress in biophysics and biophysical chemistry.

[47]  Gary T. Yamaguchi,et al.  Dynamic Modeling of Musculoskeletal Motion: A Vectorized Approach for Biomechanical Analysis in Three Dimensions , 2001 .

[48]  F.E. Zajac,et al.  An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures , 1990, IEEE Transactions on Biomedical Engineering.

[49]  Thomas M Best,et al.  Simulation of biceps femoris musculotendon mechanics during the swing phase of sprinting. , 2005, Medicine and science in sports and exercise.

[50]  M. Pandy,et al.  A Dynamic Optimization Solution for Vertical Jumping in Three Dimensions. , 1999, Computer methods in biomechanics and biomedical engineering.

[51]  Jorge Martins,et al.  A microcontroller platform for the rapid prototyping of functional electrical stimulation-based gait neuroprostheses. , 2015, Artificial organs.

[52]  S. Binder-Macleod,et al.  Human skeletal muscle fiber type classifications. , 2001, Physical therapy.

[53]  Clyde F. Martin,et al.  The Control and Mechanics of Human Movement Systems , 1999 .

[54]  A. Hill The heat of shortening and the dynamic constants of muscle , 1938 .