Literature DB >> 22464351

A platform for dynamic simulation and control of movement based on OpenSim and MATLAB.

Misagh Mansouri1, Jeffrey A Reinbolt.   

Abstract

Numerical simulations play an important role in solving complex engineering problems and have the potential to revolutionize medical decision making and treatment strategies. In this paper, we combine the rapid model-based design, control systems and powerful numerical method strengths of MATLAB/Simulink with the simulation and human movement dynamics strengths of OpenSim by developing a new interface between the two software tools. OpenSim is integrated with Simulink using the MATLAB S-function mechanism, and the interface is demonstrated using both open-loop and closed-loop control systems. While the open-loop system uses MATLAB/Simulink to separately reproduce the OpenSim Forward Dynamics Tool, the closed-loop system adds the unique feature of feedback control to OpenSim, which is necessary for most human movement simulations. An arm model example was successfully used in both open-loop and closed-loop cases. For the open-loop case, the simulation reproduced results from the OpenSim Forward Dynamics Tool with root mean square (RMS) differences of 0.03° for the shoulder elevation angle and 0.06° for the elbow flexion angle. MATLAB's variable step-size integrator reduced the time required to generate the forward dynamic simulation from 7.1s (OpenSim) to 2.9s (MATLAB). For the closed-loop case, a proportional-integral-derivative controller was used to successfully balance a pole on model's hand despite random force disturbances on the pole. The new interface presented here not only integrates the OpenSim and MATLAB/Simulink software tools, but also will allow neuroscientists, physiologists, biomechanists, and physical therapists to adapt and generate new solutions as treatments for musculoskeletal conditions.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22464351      PMCID: PMC3593123          DOI: 10.1016/j.jbiomech.2012.03.016

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  18 in total

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Journal:  J Biomech       Date:  2010-08-09       Impact factor: 2.712

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  7 in total

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Authors:  Jörg Eschweiler; Maximilian Praster; Valentin Quack; Jianzhang Li; Björn Rath; Frank Hildebrand; Filippo Migliorini
Journal:  Life (Basel)       Date:  2022-04-02

5.  A segmented forearm model of hand pronation-supination approximates joint moments for real time applications.

Authors:  Matthew G Yough; Russell L Hardesty; Sergiy Yakovenko; Valeriya Gritsenko
Journal:  Int IEEE EMBS Conf Neural Eng       Date:  2021-06-02

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Authors:  Leng-Feng Lee; Brian R Umberger
Journal:  PeerJ       Date:  2016-01-26       Impact factor: 2.984

7.  Human-exoskeleton control simulation, kinetic and kinematic modeling and parameters extraction.

Authors:  Maryam Khamar; Mehdi Edrisi; Mohsen Zahiri
Journal:  MethodsX       Date:  2019-08-23
  7 in total

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