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Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics?
Surface electromyography (sEMG) is the main non-invasive tool used to record the electrical activity of muscles during dynamic tasks. In clinical gait analysis, a number of techniques have been developed to obtain and interpret the muscle activation patterns of patients showing altered locomotion. H...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502709/ https://www.ncbi.nlm.nih.gov/pubmed/33013656 http://dx.doi.org/10.3389/fneur.2020.00994 |
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author | Agostini, Valentina Ghislieri, Marco Rosati, Samanta Balestra, Gabriella Knaflitz, Marco |
author_facet | Agostini, Valentina Ghislieri, Marco Rosati, Samanta Balestra, Gabriella Knaflitz, Marco |
author_sort | Agostini, Valentina |
collection | PubMed |
description | Surface electromyography (sEMG) is the main non-invasive tool used to record the electrical activity of muscles during dynamic tasks. In clinical gait analysis, a number of techniques have been developed to obtain and interpret the muscle activation patterns of patients showing altered locomotion. However, the body of knowledge described in these studies is very seldom translated into routine clinical practice. The aim of this work is to analyze critically the key factors limiting the extensive use of these powerful techniques among clinicians. A thorough understanding of these limiting factors will provide an important opportunity to overcome limitations through specific actions, and advance toward an evidence-based approach to rehabilitation based on objective findings and measurements. |
format | Online Article Text |
id | pubmed-7502709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75027092020-10-02 Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics? Agostini, Valentina Ghislieri, Marco Rosati, Samanta Balestra, Gabriella Knaflitz, Marco Front Neurol Neurology Surface electromyography (sEMG) is the main non-invasive tool used to record the electrical activity of muscles during dynamic tasks. In clinical gait analysis, a number of techniques have been developed to obtain and interpret the muscle activation patterns of patients showing altered locomotion. However, the body of knowledge described in these studies is very seldom translated into routine clinical practice. The aim of this work is to analyze critically the key factors limiting the extensive use of these powerful techniques among clinicians. A thorough understanding of these limiting factors will provide an important opportunity to overcome limitations through specific actions, and advance toward an evidence-based approach to rehabilitation based on objective findings and measurements. Frontiers Media S.A. 2020-09-04 /pmc/articles/PMC7502709/ /pubmed/33013656 http://dx.doi.org/10.3389/fneur.2020.00994 Text en Copyright © 2020 Agostini, Ghislieri, Rosati, Balestra and Knaflitz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Agostini, Valentina Ghislieri, Marco Rosati, Samanta Balestra, Gabriella Knaflitz, Marco Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics? |
title | Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics? |
title_full | Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics? |
title_fullStr | Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics? |
title_full_unstemmed | Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics? |
title_short | Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics? |
title_sort | surface electromyography applied to gait analysis: how to improve its impact in clinics? |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502709/ https://www.ncbi.nlm.nih.gov/pubmed/33013656 http://dx.doi.org/10.3389/fneur.2020.00994 |
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