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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Main Authors: Juri Taborri, Eduardo Palermo, Zaccaria Del Prete, Stefano Rossi
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.1155/2018/5852307
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author Juri Taborri
Eduardo Palermo
Zaccaria Del Prete
Stefano Rossi
author_facet Juri Taborri
Eduardo Palermo
Zaccaria Del Prete
Stefano Rossi
author_sort Juri Taborri
collection DOAJ
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 doaj-art-1f76c07e32ac46a88e9e68e438597d3a2025-02-03T06:05:47ZengWileyApplied Bionics and Biomechanics1176-23221754-21032018-01-01201810.1155/2018/58523075852307On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life ActivitiesJuri Taborri0Eduardo Palermo1Zaccaria Del Prete2Stefano Rossi3Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, Via Del Paradiso, 47, Viterbo 01100, ItalyDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18, Roma 00184, ItalyDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18, Roma 00184, ItalyDepartment of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, Via Del Paradiso, 47, Viterbo 01100, ItalyMuscle 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.http://dx.doi.org/10.1155/2018/5852307
spellingShingle Juri Taborri
Eduardo Palermo
Zaccaria Del Prete
Stefano Rossi
On the Reliability and Repeatability of Surface Electromyography Factorization by Muscle Synergies in Daily Life Activities
Applied Bionics and Biomechanics
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
url http://dx.doi.org/10.1155/2018/5852307
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