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      MOtoNMS: A MATLAB toolbox to process motion data for neuromusculoskeletal modeling and simulation

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          Abstract

          Background

          Neuromusculoskeletal modeling and simulation enable investigation of the neuromusculoskeletal system and its role in human movement dynamics. These methods are progressively introduced into daily clinical practice. However, a major factor limiting this translation is the lack of robust tools for the pre-processing of experimental movement data for their use in neuromusculoskeletal modeling software.

          Results

          This paper presents MOtoNMS (matlab MOtion data elaboration TOolbox for NeuroMusculoSkeletal applications), a toolbox freely available to the community, that aims to fill this lack. MOtoNMS processes experimental data from different motion analysis devices and generates input data for neuromusculoskeletal modeling and simulation software, such as OpenSim and CEINMS (Calibrated EMG-Informed NMS Modelling Toolbox). MOtoNMS implements commonly required processing steps and its generic architecture simplifies the integration of new user-defined processing components. MOtoNMS allows users to setup their laboratory configurations and processing procedures through user-friendly graphical interfaces, without requiring advanced computer skills. Finally, configuration choices can be stored enabling the full reproduction of the processing steps. MOtoNMS is released under GNU General Public License and it is available at the SimTK website and from the GitHub repository. Motion data collected at four institutions demonstrate that, despite differences in laboratory instrumentation and procedures, MOtoNMS succeeds in processing data and producing consistent inputs for OpenSim and CEINMS.

          Conclusions

          MOtoNMS fills the gap between motion analysis and neuromusculoskeletal modeling and simulation. Its support to several devices, a complete implementation of the pre-processing procedures, its simple extensibility, the available user interfaces, and its free availability can boost the translation of neuromusculoskeletal methods in daily and clinical practice.

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          Most cited references31

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          Position and orientation in space of bones during movement: anatomical frame definition and determination

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            Muscle contributions to propulsion and support during running.

            Muscles actuate running by developing forces that propel the body forward while supporting the body's weight. To understand how muscles contribute to propulsion (i.e., forward acceleration of the mass center) and support (i.e., upward acceleration of the mass center) during running we developed a three-dimensional muscle-actuated simulation of the running gait cycle. The simulation is driven by 92 musculotendon actuators of the lower extremities and torso and includes the dynamics of arm motion. We analyzed the simulation to determine how each muscle contributed to the acceleration of the body mass center. During the early part of the stance phase, the quadriceps muscle group was the largest contributor to braking (i.e., backward acceleration of the mass center) and support. During the second half of the stance phase, the soleus and gastrocnemius muscles were the greatest contributors to propulsion and support. The arms did not contribute substantially to either propulsion or support, generating less than 1% of the peak mass center acceleration. However, the arms effectively counterbalanced the vertical angular momentum of the lower extremities. Our analysis reveals that the quadriceps and plantarflexors are the major contributors to acceleration of the body mass center during running. Copyright © 2010 Elsevier Ltd. All rights reserved.
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              Analysis of musculoskeletal systems in the AnyBody Modeling System

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                Author and article information

                Contributors
                ali.mantoan@gmail.com
                claudio.pizzolato@griffithuni.edu.au
                massimo.sartori@bccn.uni-goettingen.de
                zimi.sawacha@dei.unipd.it
                cobelli@dei.unipd.it
                monica.reggiani@unipd.it
                Journal
                Source Code Biol Med
                Source Code Biol Med
                Source Code for Biology and Medicine
                BioMed Central (London )
                1751-0473
                16 November 2015
                16 November 2015
                2015
                : 10
                : 12
                Affiliations
                [ ]Department of Management and Engineering, University of Padova, Stradella San Nicola, 3, Vicenza, 36100 Italy
                [ ]Centre for Musculoskeletal Research, Griffith University, Gold Coast campus, Gold Coast QLD, 4222 Australia
                [ ]Department of Neurorehabilitation Engineering, University Medical Center Goettingen, Georg-August University, Von-Siebold-Str., 6, Goettingen, 37075 Germany
                [ ]Department of Information Engineering, University of Padova, Via Gradenigo, 6/b, Padova, 35131 Italy
                Article
                44
                10.1186/s13029-015-0044-4
                4647340
                26579208
                378ad443-cb3f-4268-8326-6340a277ae99
                © Mantoan et al. 2015

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 18 February 2015
                : 31 October 2015
                Categories
                Methodology
                Custom metadata
                © The Author(s) 2015

                Bioinformatics & Computational biology
                neuromusculoskeletal modeling,motion data,data processing,opensim,c3d

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