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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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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. |
format | Online Article Text |
id | pubmed-3995512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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