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On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities

Muscle synergy theory is a new appealing approach for different research fields. This study is aimed at evaluating the robustness of EMG reconstruction via muscle synergies and the repeatability of muscle synergy parameters as potential neurophysiological indices. Eight healthy subjects performed wa...

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Autores principales: Taborri, Juri, Palermo, Eduardo, Del Prete, Zaccaria, Rossi, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6282145/
https://www.ncbi.nlm.nih.gov/pubmed/30595715
http://dx.doi.org/10.1155/2018/5852307
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author Taborri, Juri
Palermo, Eduardo
Del Prete, Zaccaria
Rossi, Stefano
author_facet Taborri, Juri
Palermo, Eduardo
Del Prete, Zaccaria
Rossi, Stefano
author_sort Taborri, Juri
collection PubMed
description Muscle synergy theory is a new appealing approach for different research fields. This study is aimed at evaluating the robustness of EMG reconstruction via muscle synergies and the repeatability of muscle synergy parameters as potential neurophysiological indices. Eight healthy subjects performed walking, stepping, running, and ascending and descending stairs' trials for five repetitions in three sessions. Twelve muscles of the dominant leg were analyzed. The “nonnegative matrix factorization” and “variability account for” were used to extract muscle synergies and to assess EMG goodness reconstruction, respectively. Intraclass correlation was used to quantify methodology reliability. Cosine similarity and coefficient of determination assessed the repeatability of the muscle synergy vectors and the temporal activity patterns, respectively. A 4-synergy model was selected for EMG signal factorization. Intraclass correlation was excellent for the overall reconstruction, while it ranged from fair to excellent for single muscles. The EMG reconstruction was found repeatable across sessions and subjects. Considering the selection of neurophysiological indices, the number of synergies was not repeatable neither within nor between subjects. Conversely, the cosine similarity and coefficient of determination values allow considering the muscle synergy vectors and the temporal activity patterns as potential neurophysiological indices due to their similarity both within and between subjects. More specifically, some synergies in the 4-synergy model reveal themselves as more repeatable than others, suggesting focusing on them when seeking at the neurophysiological index identification.
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spelling pubmed-62821452018-12-30 On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities Taborri, Juri Palermo, Eduardo Del Prete, Zaccaria Rossi, Stefano Appl Bionics Biomech Research Article Muscle synergy theory is a new appealing approach for different research fields. This study is aimed at evaluating the robustness of EMG reconstruction via muscle synergies and the repeatability of muscle synergy parameters as potential neurophysiological indices. Eight healthy subjects performed walking, stepping, running, and ascending and descending stairs' trials for five repetitions in three sessions. Twelve muscles of the dominant leg were analyzed. The “nonnegative matrix factorization” and “variability account for” were used to extract muscle synergies and to assess EMG goodness reconstruction, respectively. Intraclass correlation was used to quantify methodology reliability. Cosine similarity and coefficient of determination assessed the repeatability of the muscle synergy vectors and the temporal activity patterns, respectively. A 4-synergy model was selected for EMG signal factorization. Intraclass correlation was excellent for the overall reconstruction, while it ranged from fair to excellent for single muscles. The EMG reconstruction was found repeatable across sessions and subjects. Considering the selection of neurophysiological indices, the number of synergies was not repeatable neither within nor between subjects. Conversely, the cosine similarity and coefficient of determination values allow considering the muscle synergy vectors and the temporal activity patterns as potential neurophysiological indices due to their similarity both within and between subjects. More specifically, some synergies in the 4-synergy model reveal themselves as more repeatable than others, suggesting focusing on them when seeking at the neurophysiological index identification. Hindawi 2018-11-22 /pmc/articles/PMC6282145/ /pubmed/30595715 http://dx.doi.org/10.1155/2018/5852307 Text en Copyright © 2018 Juri Taborri et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Taborri, Juri
Palermo, Eduardo
Del Prete, Zaccaria
Rossi, Stefano
On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities
title On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities
title_full On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities
title_fullStr On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities
title_full_unstemmed On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities
title_short On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities
title_sort on the reliability and repeatability of surface electromyography factorization by muscle synergies in daily life activities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6282145/
https://www.ncbi.nlm.nih.gov/pubmed/30595715
http://dx.doi.org/10.1155/2018/5852307
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