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Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics?

Authors :
Agostini V
Ghislieri M
Rosati S
Balestra G
Knaflitz M
Source :
Frontiers in neurology [Front Neurol] 2020 Sep 04; Vol. 11, pp. 994. Date of Electronic Publication: 2020 Sep 04 (Print Publication: 2020).
Publication Year :
2020

Abstract

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.<br /> (Copyright © 2020 Agostini, Ghislieri, Rosati, Balestra and Knaflitz.)

Details

Language :
English
ISSN :
1664-2295
Volume :
11
Database :
MEDLINE
Journal :
Frontiers in neurology
Publication Type :
Academic Journal
Accession number :
33013656
Full Text :
https://doi.org/10.3389/fneur.2020.00994