OpenSim Versus Human Body Model: A Comparison Study for the Lower Limbs During Gait.

Musculoskeletal modeling and simulations have become popular tools for analyzing human movements. However, end users are often not aware of underlying modeling and computational assumptions. This study investigates how these assumptions affect biomechanical gait analysis outcomes performed with Human Body Model and the OpenSim gait2392 model. The authors compared joint kinematics, kinetics, and muscle forces resulting from processing data from 7 healthy adults with both models. Although outcome variables had similar patterns, there were statistically significant differences in joint kinematics (maximal difference: 9.8° [1.5°] in sagittal plane hip rotation), kinetics (maximal difference: 0.36 [0.10] N·m/kg in sagittal plane hip moment), and muscle forces (maximal difference: 8.51 [1.80] N/kg for psoas). These differences might be explained by differences in hip and knee joint center locations up to 2.4 (0.5) and 1.9 (0.2) cm in the posteroanterior and inferosuperior directions, respectively, and by the offset in pelvic reference frames of about 10° around the mediolateral axis. The choice of model may not influence the conclusions in clinical settings, where the focus is on interpreting deviations from the reference data, but it will affect the conclusions of mechanical analyses in which the goal is to obtain accurate estimates of kinematics and loading.

[1]  V. T. Inman,et al.  Anthropometric studies of the human foot and ankle , 1969 .

[2]  V. T. Inman The joints of the ankle , 1976 .

[3]  R. Crowninshield,et al.  A physiologically based criterion of muscle force prediction in locomotion. , 1981, Journal of biomechanics.

[4]  F. Zajac,et al.  A planar model of the knee joint to characterize the knee extensor mechanism. , 1989, Journal of biomechanics.

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

[6]  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.

[7]  P R Cavanagh,et al.  Accuracy of the functional method of hip joint center location: effects of limited motion and varied implementation. , 2001, Journal of biomechanics.

[8]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[9]  David G Lloyd,et al.  Repeatability of gait data using a functional hip joint centre and a mean helical knee axis. , 2003, Journal of biomechanics.

[10]  Jaco F Schutte,et al.  Determination of patient-specific multi-joint kinematic models through two-level optimization. , 2005, Journal of biomechanics.

[11]  Michael Damsgaard,et al.  Analysis of musculoskeletal systems in the AnyBody Modeling System , 2006, Simul. Model. Pract. Theory.

[12]  T. Theologis,et al.  Prediction of the hip joint centre in adults, children, and patients with cerebral palsy based on magnetic resonance imaging. , 2007, Journal of biomechanics.

[13]  Ayman Habib,et al.  OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.

[14]  Michael L Boninger,et al.  Personalized neuromusculoskeletal modeling to improve treatment of mobility impairments: a perspective from European research sites , 2012, Journal of NeuroEngineering and Rehabilitation.

[15]  John Rasmussen,et al.  On validation of multibody musculoskeletal models , 2012, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[16]  Anders Klarbring,et al.  Muscle decomposition and recruitment criteria influence muscle force estimates , 2012 .

[17]  G. Caldwell,et al.  Limitations to maximum sprinting speed imposed by muscle mechanical properties. , 2012, Journal of biomechanics.

[18]  Antonie J. van den Bogert,et al.  A real-time system for biomechanical analysis of human movement and muscle function , 2013, Medical & Biological Engineering & Computing.

[19]  Jos Vanrenterghem,et al.  Vector field statistical analysis of kinematic and force trajectories. , 2013, Journal of biomechanics.

[20]  Julie Stebbins,et al.  Spatio-temporal parameters and lower-limb kinematics of turning gait in typically developing children. , 2013, Gait & posture.

[21]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[22]  Ilse Jonkers,et al.  The effect of perturbing body segment parameters on calculated joint moments and muscle forces during gait. , 2014, Journal of biomechanics.

[23]  T. Andriacchi,et al.  Evidence for joint moment asymmetry in healthy populations during gait. , 2014, Gait & posture.

[24]  Ajay Seth,et al.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement. , 2015, Journal of biomechanical engineering.

[25]  David G. Lloyd,et al.  Estimation of the hip joint centre in human motion analysis: a systematic review. , 2015, Clinical biomechanics.

[26]  Anil V. Rao,et al.  Evaluation of Direct Collocation Optimal Control Problem Formulations for Solving the Muscle Redundancy Problem , 2016, Annals of Biomedical Engineering.

[27]  Ilse Jonkers,et al.  Medial knee loading is altered in subjects with early osteoarthritis during gait but not during step-up-and-over task , 2017, PloS one.

[28]  D G Lloyd,et al.  Real-time inverse kinematics and inverse dynamics for lower limb applications using OpenSim , 2017, Computer methods in biomechanics and biomedical engineering.

[29]  Robert A. Siston,et al.  Interpreting Musculoskeletal Models and Dynamic Simulations: Causes and Effects of Differences Between Models , 2017, Annals of Biomedical Engineering.

[30]  Ilse Jonkers,et al.  EMG-Driven Optimal Estimation of Subject-SPECIFIC Hill Model Muscle–Tendon Parameters of the Knee Joint Actuators , 2017, IEEE Transactions on Biomedical Engineering.