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...

Full description

Bibliographic Details
Main Authors: Valentina Agostini, Marco Ghislieri, Samanta Rosati, Gabriella Balestra, Marco Knaflitz
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Neurology
Subjects:
EMG
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2020.00994/full
id doaj-27b68332f355459c942a16f66c5ca5ee
record_format Article
spelling doaj-27b68332f355459c942a16f66c5ca5ee2020-11-25T03:27:48ZengFrontiers Media S.A.Frontiers in Neurology1664-22952020-09-011110.3389/fneur.2020.00994561815Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics?Valentina Agostini0Valentina Agostini1Marco Ghislieri2Marco Ghislieri3Samanta Rosati4Samanta Rosati5Gabriella Balestra6Gabriella Balestra7Marco Knaflitz8Marco Knaflitz9PoliToBIOMedLab, Politecnico di Torino, Turin, ItalyDepartment of Electronics and Telecommunications, Politecnico di Torino, Turin, ItalyPoliToBIOMedLab, Politecnico di Torino, Turin, ItalyDepartment of Electronics and Telecommunications, Politecnico di Torino, Turin, ItalyPoliToBIOMedLab, Politecnico di Torino, Turin, ItalyDepartment of Electronics and Telecommunications, Politecnico di Torino, Turin, ItalyPoliToBIOMedLab, Politecnico di Torino, Turin, ItalyDepartment of Electronics and Telecommunications, Politecnico di Torino, Turin, ItalyPoliToBIOMedLab, Politecnico di Torino, Turin, ItalyDepartment of Electronics and Telecommunications, Politecnico di Torino, Turin, ItalySurface 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.https://www.frontiersin.org/article/10.3389/fneur.2020.00994/fullelectromyographyEMGlocomotionmachine learningclinical practicerehabilitation
collection DOAJ
language English
format Article
sources DOAJ
author Valentina Agostini
Valentina Agostini
Marco Ghislieri
Marco Ghislieri
Samanta Rosati
Samanta Rosati
Gabriella Balestra
Gabriella Balestra
Marco Knaflitz
Marco Knaflitz
spellingShingle Valentina Agostini
Valentina Agostini
Marco Ghislieri
Marco Ghislieri
Samanta Rosati
Samanta Rosati
Gabriella Balestra
Gabriella Balestra
Marco Knaflitz
Marco Knaflitz
Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics?
Frontiers in Neurology
electromyography
EMG
locomotion
machine learning
clinical practice
rehabilitation
author_facet Valentina Agostini
Valentina Agostini
Marco Ghislieri
Marco Ghislieri
Samanta Rosati
Samanta Rosati
Gabriella Balestra
Gabriella Balestra
Marco Knaflitz
Marco Knaflitz
author_sort Valentina Agostini
title 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_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_sort surface electromyography applied to gait analysis: how to improve its impact in clinics?
publisher Frontiers Media S.A.
series Frontiers in Neurology
issn 1664-2295
publishDate 2020-09-01
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.
topic electromyography
EMG
locomotion
machine learning
clinical practice
rehabilitation
url https://www.frontiersin.org/article/10.3389/fneur.2020.00994/full
work_keys_str_mv AT valentinaagostini surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT valentinaagostini surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT marcoghislieri surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT marcoghislieri surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT samantarosati surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT samantarosati surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT gabriellabalestra surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT gabriellabalestra surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT marcoknaflitz surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
AT marcoknaflitz surfaceelectromyographyappliedtogaitanalysishowtoimproveitsimpactinclinics
_version_ 1724587064354144256