Evidence map›Paper›PMID 30595715›Full record

ArticleApplied bionics and biomechanics2018

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

Juri Taborri, Eduardo Palermo, Zaccaria Del Prete, Stefano Rossi

Abstract read
In one paragraph

Article in Applied bionics and biomechanics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Muscle Synergies Reliability in the Power Clean Exercise.Journal of functional morphology and kinesiology · 2020
    Article
  11. Article
  12. Motor Modules are Impacted by the Number of Reaching Directions Included in the Analysis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020
    Article
  13. Muscle Synergies in Parkinson's Disease.Sensors (Basel, Switzerland) · 2020
    Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Juri TaborriDepartment of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, Via Del Paradiso, 47, Viterbo 01100, Italy.ORCID 0000-0002-8997-7605
Eduardo PalermoDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18, Roma 00184, Italy.ORCID 0000-0002-3213-8261
Zaccaria Del PreteDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18, Roma 00184, Italy.
Stefano RossiDepartment of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, Via Del Paradiso, 47, Viterbo 01100, Italy.ORCID 0000-0003-0006-7013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID30595715
PMCPMC6282145

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.