Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index

Gait analysis applications in clinics are still uncommon, for three main reasons: (1) the considerable time needed to prepare the subject for the examination; (2) the lack of user-independent tools; (3) the large variability of muscle activation patterns observed in healthy and pathological subjects...

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Autores principales: Samanta Rosati, Marco Ghislieri, Gregorio Dotti, Daniele Fortunato, Valentina Agostini, Marco Knaflitz, Gabriella Balestra
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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EMG
Acceso en línea:https://doaj.org/article/c0143af2107046c88f85829fbc164564
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spelling oai:doaj.org-article:c0143af2107046c88f85829fbc1645642021-11-11T19:10:37ZEvaluation of Muscle Function by Means of a Muscle-Specific and a Global Index10.3390/s212171861424-8220https://doaj.org/article/c0143af2107046c88f85829fbc1645642021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7186https://doaj.org/toc/1424-8220Gait analysis applications in clinics are still uncommon, for three main reasons: (1) the considerable time needed to prepare the subject for the examination; (2) the lack of user-independent tools; (3) the large variability of muscle activation patterns observed in healthy and pathological subjects. Numerical indices quantifying the muscle coordination of a subject could enable clinicians to identify patterns that deviate from those of a reference population and to follow the progress of the subject after surgery or completing a rehabilitation program. In this work, we present two user-independent indices. First, a muscle-specific index (MFI) that quantifies the similarity of the activation pattern of a muscle of a specific subject with that of a reference population. Second, a global index (GFI) that provides a score of the overall activation of a muscle set. These two indices were tested on two groups of healthy and pathological children with encouraging results. Hence, the two indices will allow clinicians to assess the muscle activation, identifying muscles showing an abnormal activation pattern, and associate a functional score to every single muscle as well as to the entire muscle set. These opportunities could contribute to facilitating the diffusion of surface EMG analysis in clinics.Samanta RosatiMarco GhislieriGregorio DottiDaniele FortunatoValentina AgostiniMarco KnaflitzGabriella BalestraMDPI AGarticlegait analysisEMGmuscle activation patternsmovement analysisChemical technologyTP1-1185ENSensors, Vol 21, Iss 7186, p 7186 (2021)
institution DOAJ
collection DOAJ
language EN
topic gait analysis
EMG
muscle activation patterns
movement analysis
Chemical technology
TP1-1185
spellingShingle gait analysis
EMG
muscle activation patterns
movement analysis
Chemical technology
TP1-1185
Samanta Rosati
Marco Ghislieri
Gregorio Dotti
Daniele Fortunato
Valentina Agostini
Marco Knaflitz
Gabriella Balestra
Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index
description Gait analysis applications in clinics are still uncommon, for three main reasons: (1) the considerable time needed to prepare the subject for the examination; (2) the lack of user-independent tools; (3) the large variability of muscle activation patterns observed in healthy and pathological subjects. Numerical indices quantifying the muscle coordination of a subject could enable clinicians to identify patterns that deviate from those of a reference population and to follow the progress of the subject after surgery or completing a rehabilitation program. In this work, we present two user-independent indices. First, a muscle-specific index (MFI) that quantifies the similarity of the activation pattern of a muscle of a specific subject with that of a reference population. Second, a global index (GFI) that provides a score of the overall activation of a muscle set. These two indices were tested on two groups of healthy and pathological children with encouraging results. Hence, the two indices will allow clinicians to assess the muscle activation, identifying muscles showing an abnormal activation pattern, and associate a functional score to every single muscle as well as to the entire muscle set. These opportunities could contribute to facilitating the diffusion of surface EMG analysis in clinics.
format article
author Samanta Rosati
Marco Ghislieri
Gregorio Dotti
Daniele Fortunato
Valentina Agostini
Marco Knaflitz
Gabriella Balestra
author_facet Samanta Rosati
Marco Ghislieri
Gregorio Dotti
Daniele Fortunato
Valentina Agostini
Marco Knaflitz
Gabriella Balestra
author_sort Samanta Rosati
title Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index
title_short Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index
title_full Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index
title_fullStr Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index
title_full_unstemmed Evaluation of Muscle Function by Means of a Muscle-Specific and a Global Index
title_sort evaluation of muscle function by means of a muscle-specific and a global index
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/c0143af2107046c88f85829fbc164564
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