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OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement

Ajay Seth, Jennifer L. Hicks, Thomas K. Uchida, Ayman Habib, Christopher L. Dembia, James J. Dunne, Carmichael F. Ong, Matthew S. DeMers, Apoorva Rajagopal, Matthew Millard, Samuel R. Hamner, Edith M. Arnold (+6 others)
2018 PLoS Computational Biology  
Movement is fundamental to human and animal life, emerging through interaction of complex neural, muscular, and skeletal systems.  ...  Changes in musculoskeletal dynamics following surgery or due to humandevice interaction can also be simulated; these simulations have played a vital role in several applications, including the design of  ...  Acknowledgments The authors thank David Delp for illustrating Figs 1, 4 and 6. Author Contributions  ... 
doi:10.1371/journal.pcbi.1006223 pmid:30048444 pmcid:PMC6061994 fatcat:kz36rt3cenghvbtsi3mp5aye4u

OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement

Scott L. Delp, Frank C. Anderson, Allison S. Arnold, Peter Loan, Ayman Habib, Chand T. John, Eran Guendelman, Darryl G. Thelen
2007 IEEE Transactions on Biomedical Engineering  
Dynamic simulations of movement allow one to study neuromuscular coordination, analyze athletic performance, and estimate internal loading of the musculoskeletal system.  ...  We have developed a freely available, open-source software system (OpenSim) that lets users develop models of musculoskeletal structures and create dynamic simulations of a wide variety of movements.  ...  Scientists fascinated by human movement have performed an extensive range of studies to describe these elements.  ... 
doi:10.1109/tbme.2007.901024 pmid:18018689 fatcat:6qscrf52ijggzajcvrrvy323nm

OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange

Ajay Seth, Michael Sherman, Jeffrey A. Reinbolt, Scott L. Delp
2011 Procedia IUTAM  
Movement science is driven by observation, but observation alone cannot elucidate principles of human and animal movement.  ...  OpenSim performs an array of physics-based analyses to delve into the behavior of musculoskeletal models by employing Simbody, an efficient and accurate multibody system dynamics code.  ...  Acknowledgements The authors are grateful to Ayman Habib, Peter Eastman, Samuel Hamner, Katherine Steele, Edith Arnold, Matt Demers, Peter Loan, and Clay Anderson for their contributions and pioneering  ... 
doi:10.1016/j.piutam.2011.04.021 pmid:25893160 pmcid:PMC4397580 fatcat:5kqiuhlbsfhlvhbdw2ws3gz3v4

SCONE: Open Source Software for Predictive Simulation of Biological Motion

Thomas Geijtenbeek
2019 Journal of Open Source Software  
and skeletal systems operate together to produce efficient and purposeful motion remains largely unanswered.  ...  Mobility impairments pose an increasing burden on our ageing society, urging researchers and clinicians to invent new assistive technologies and improve medical treatment.  ...  Acknowledgements The development of SCONE has been made possible through the following financial contributions: • The European Union's Seventh Framework Programme for research, technological development and  ... 
doi:10.21105/joss.01421 fatcat:q7jzygrrbbgw3ea225nvljcruq

MyoSuite – A contact-rich simulation suite for musculoskeletal motor control [article]

Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar
2022 arXiv   pre-print
Embodied agents in continuous control domains have had limited exposure to tasks allowing to explore musculoskeletal properties that enable agile and nimble behaviors in biological beings.  ...  In addition, they are neither embedded in complex and skillful motor tasks nor are computationally effective and scalable to study large-scale learning paradigms.  ...  First, we study how sarcopenia (muscle weakness) affects the control of movement.  ... 
arXiv:2205.13600v1 fatcat:uupibf27bfardkahzymhbbebvi

The Simbios National Center: Systems Biology in Motion

J.P. Schmidt, S.L. Delp, M.A. Sherman, C.A. Taylor, V.S. Pande, R.B. Altman
2008 Proceedings of the IEEE  
| Physics-based simulation is needed to understand the function of biological structures and can be applied across a wide range of scales, from molecules to organisms.  ...  Many important biological systems comprise complex structural systems whose components interact through the exchange of physical forces, and whose movement and function is dictated by those forces.  ...  Neuromuscular Biomechanics Investigators in neuromuscular biomechanics bring together computational physics, neuroscience, and robotics to analyze muscle form and function, study human movement, design  ... 
doi:10.1109/jproc.2008.925454 pmid:20107615 pmcid:PMC2811325 fatcat:paxti7lkmjgmrbxa3dyzqws4fm

Implicit methods for efficient musculoskeletal simulation and optimal control

Antonie J. van den Bogert, Dimitra Blana, Dieter Heinrich
2011 Procedia IUTAM  
In this paper, we present an implicit formulation of musculoskeletal dynamics, which leads to new numerical methods for simulation and optimal control, with the expectation that we can mitigate some of  ...  Consequently, simulations require small time steps, and optimal control problems are slow to solve and have poor convergence.  ...  We acknowledge the help of Marko Ackermann during the initial development of optimal control algorithms.  ... 
doi:10.1016/j.piutam.2011.04.027 pmid:22102983 pmcid:PMC3217276 fatcat:2rkujurw7zewbfo4yt5wsbapxi

OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion [article]

Vittorio La Barbera, Fabio Pardo, Yuval Tassa, Monica Daley, Christopher Richards, Petar Kormushev, John Hutchinson
2022 arXiv   pre-print
To facilitate research on muscle-actuated simulation, we release a 3D musculoskeletal simulation of an ostrich based on the MuJoCo physics engine.  ...  This type of control is particularly challenging as bodies are often overactuated and dynamics are delayed and non-linear.  ...  Acknowledgements The research presented in this paper has been supported by the Royal Veterinary College and Dyson Technology Ltd.  ... 
arXiv:2112.06061v2 fatcat:t36axte4cvhfdec6bgltc3pufq

Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation [article]

Seungmoon Song, Łukasz Kidziński, Xue Bin Peng, Carmichael Ong, Jennifer L. Hicks, Serge Levine, Christopher Atkeson, Scot Delp
2020 bioRxiv   pre-print
We close with a discussion of future opportunities at the intersection of human movement simulation and reinforcement learning and our plans to extend the Learn to Move competition to further facilitate  ...  been rarely applied in neuromechanical simulation to model human control.  ...  The control and musculoskeletal models are forward simulated based on physical laws to produce movements. Musculoskeletal models for studying human movement. a.  ... 
doi:10.1101/2020.08.11.246801 fatcat:qjkr2kn3hnehppsp7fnzsqz34m

Musculoskeletal Representation of a Large Repertoire of Hand Grasping Actions in Primates

S. Schaffelhofer, M. Sartori, H. Scherberger, D. Farina
2015 IEEE transactions on neural systems and rehabilitation engineering  
A generic musculoskeletal model of the human upper extremity was scaled and morphed to match the specific anatomy of each individual animal.  ...  Reach-to-grasp tasks have become popular paradigms for exploring the neural origin of hand and arm movements.  ...  Nazarenus, and L. Burchardt for assistance in animal training, M. Dörge for technical assistance, L. Schaffelhofer for glove production, and J.  ... 
doi:10.1109/tnsre.2014.2364776 pmid:25350935 fatcat:pdkg6vtzmzbenflnhiq4nxhczm

Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies

Massimo Sartori, David G. Llyod, Dario Farina
2016 IEEE Transactions on Biomedical Engineering  
Methods: We provide a design overview of musculoskeletal modeling formulations driven by recordings of neuromuscular activity with a critical comparison to alternative model-free approaches in the context  ...  technologies and interventions to an individual's anatomy and impairment.  ...  ACKNOWLEDGMENT The authors would like to thank P. Staab, F. Jung, Dr. T. Schmalz, Dr. D. Hochmann, and Dr. B. Graimann for providing movement data for Fig. 7 .  ... 
doi:10.1109/tbme.2016.2538296 pmid:27046865 fatcat:6glrzusfj5dhponqcfwqg7ukme

A visualization framework for the analysis of neuromuscular simulations

Nicolas Pronost, Anders Sandholm, Daniel Thalmann
2010 The Visual Computer  
We present a visualization framework for exploring and analyzing data sets from biomechanical and neuromuscular simulations.  ...  In this paper, we outline the functionalities of the framework as well as applications embedded within the OpenSim simulation platform.  ...  The authors would like to acknowledge Jean-Charles Bricola for his assistance in the development of the framework, and the OpenSim users community for its feedback.  ... 
doi:10.1007/s00371-010-0534-y fatcat:bpfp2hajdvdjjf75owksyxwjvi

Applications and future perspectives of deep learning in medical image analysis

2018 Iryou kikigaku (The Japanese journal of medical instrumentation)  
., "OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement" , PLOS Computational Biology, 14(7) , p. e1006223, 2018. 2) Hiasa, Y., Otake, Y., Takao, M  ...  F.,, "Deep MR to CT Synthesis Using Unpaired Data" , Simulation and Synthesis in Medical Imaging: Second International Workshop, SASHIMI 2017, held in Conjunction withMICCAI 2017MICCAI , 14-23,  ... 
doi:10.4286/jjmi.88.490 fatcat:o5bux766nbdnxjnutpknjvjohm

Musculoskeletal Simulation Model Generation from MRI Data Sets and Motion Capture Data [chapter]

Jérôme Schmid, Anders Sandholm, François Chung, Daniel Thalmann, Hervé Delingette, Nadia Magnenat-Thalmann
2009 Recent Advances in the 3D Physiological Human  
Today computer models and computer simulations of the musculoskeletal system are widely used to study the mechanisms behind human gait and its disorders.  ...  The common way of creating musculoskeletal models is to use a generic musculoskeletal model based on data derived from anatomical and biomechanical studies of cadaverous specimens.  ...  Introduction Today neuromuscular simulation has proved to be a valuable tool in understanding human movements, from gait research [19] , diagnostic and treatment of patients to teaching/training new physicians  ... 
doi:10.1007/978-1-84882-565-9_1 fatcat:a3j5dc7ihje4tjejtm7m2quekm

Neuromechanical Coupling is Reflected in the Spatial Organization of the Spinal Motoneuron Pools [article]

Rachel I Taitano, Sergiy Yakovenko, Valeriya Gritsenko
2022 bioRxiv   pre-print
One proposed mechanism that simplifies motor control is through the neural embedding of musculoskeletal dynamics.  ...  We used the spinal cord model to quantify the spatial relationship between motoneuron pools, and we used the OpenSim model to quantify the functional relationship between muscles.  ...  The large repertoire and dexterity of human movement relies on the musculoskeletal complexity and sophisticated neural control mechanisms.  ... 
doi:10.1101/2022.07.09.499432 fatcat:xgloqiqylrfrjgu4brl2ii5pd4
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