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EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model

BACKGROUND: This paper describes the “EMG Driven Force Estimator (EMGD-FE)”, a Matlab® graphical user interface (GUI) application that estimates skeletal muscle forces from electromyography (EMG) signals. Muscle forces are obtained by numerically integrating a system of ordinary differential equatio...

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Autores principales: Menegaldo, Luciano Luporini, de Oliveira, Liliam Fernandes, Minato, Kin K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3995512/
https://www.ncbi.nlm.nih.gov/pubmed/24708668
http://dx.doi.org/10.1186/1475-925X-13-37
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author Menegaldo, Luciano Luporini
de Oliveira, Liliam Fernandes
Minato, Kin K
author_facet Menegaldo, Luciano Luporini
de Oliveira, Liliam Fernandes
Minato, Kin K
author_sort Menegaldo, Luciano Luporini
collection PubMed
description BACKGROUND: This paper describes the “EMG Driven Force Estimator (EMGD-FE)”, a Matlab® graphical user interface (GUI) application that estimates skeletal muscle forces from electromyography (EMG) signals. Muscle forces are obtained by numerically integrating a system of ordinary differential equations (ODEs) that simulates Hill-type muscle dynamics and that utilises EMG signals as input. In the current version, the GUI can estimate the forces of lower limb muscles executing isometric contractions. Muscles from other parts of the body can be tested as well, although no default values for model parameters are provided. To achieve accurate evaluations, EMG collection is performed simultaneously with torque measurement from a dynamometer. The computer application guides the user, step-by-step, to pre-process the raw EMG signals, create inputs for the muscle model, numerically integrate the ODEs and analyse the results. RESULTS: An example of the application’s functions is presented using the quadriceps femoris muscle. Individual muscle force estimations for the four components as well the knee isometric torque are shown. CONCLUSIONS: The proposed GUI can estimate individual muscle forces from EMG signals of skeletal muscles. The estimation accuracy depends on several factors, including signal collection and modelling hypothesis issues.
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spelling pubmed-39955122014-05-07 EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model Menegaldo, Luciano Luporini de Oliveira, Liliam Fernandes Minato, Kin K Biomed Eng Online Software BACKGROUND: This paper describes the “EMG Driven Force Estimator (EMGD-FE)”, a Matlab® graphical user interface (GUI) application that estimates skeletal muscle forces from electromyography (EMG) signals. Muscle forces are obtained by numerically integrating a system of ordinary differential equations (ODEs) that simulates Hill-type muscle dynamics and that utilises EMG signals as input. In the current version, the GUI can estimate the forces of lower limb muscles executing isometric contractions. Muscles from other parts of the body can be tested as well, although no default values for model parameters are provided. To achieve accurate evaluations, EMG collection is performed simultaneously with torque measurement from a dynamometer. The computer application guides the user, step-by-step, to pre-process the raw EMG signals, create inputs for the muscle model, numerically integrate the ODEs and analyse the results. RESULTS: An example of the application’s functions is presented using the quadriceps femoris muscle. Individual muscle force estimations for the four components as well the knee isometric torque are shown. CONCLUSIONS: The proposed GUI can estimate individual muscle forces from EMG signals of skeletal muscles. The estimation accuracy depends on several factors, including signal collection and modelling hypothesis issues. BioMed Central 2014-04-04 /pmc/articles/PMC3995512/ /pubmed/24708668 http://dx.doi.org/10.1186/1475-925X-13-37 Text en Copyright © 2014 Menegaldo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.
spellingShingle Software
Menegaldo, Luciano Luporini
de Oliveira, Liliam Fernandes
Minato, Kin K
EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model
title EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model
title_full EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model
title_fullStr EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model
title_full_unstemmed EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model
title_short EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model
title_sort emgd-fe: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an emg-driven model
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3995512/
https://www.ncbi.nlm.nih.gov/pubmed/24708668
http://dx.doi.org/10.1186/1475-925X-13-37
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