Evidence map›Paper›PMID 33496848›Full record

ReviewEuropean journal of applied physiology2021

How to improve the muscle synergy analysis methodology?

Nicolas A Turpin, Stéphane Uriac, Georges Dalleau

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in European journal of applied physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05014009 (The Influence of Neuromuscular Training on Whole-body Movement Strategies and Knee Mechanics During Change-of-direction Tasks in Sports Science Students), which is not on this map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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.

NCT05014009 nacompletednot on this map

The Influence of Neuromuscular Training on Whole-body Movement Strategies and Knee Mechanics During Change-of-direction Tasks in Sports Science Students

TypeinterventionalSponsorUniversitaet InnsbruckRan2021 to 2021Enrolled24ConditionsAnterior Cruciate Ligament InjuriesArmsFIFA11+ and multidirectional training (MD), FIFA11+ and linear sprint training (MD)
3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

3 authors.

Nicolas A TurpinIRISSE (EA 4075), UFR SHE-STAPS Department, University of La Réunion, 117 Rue du Général Ailleret, 97430, Le Tampon, France. nicolas.turpin@univ.reunion.fr.ORCID http://orcid.org/0000-0001-7046-110X
Stéphane UriacIRISSE (EA 4075), UFR SHE-STAPS Department, University of La Réunion, 117 Rue du Général Ailleret, 97430, Le Tampon, France.
Georges DalleauIRISSE (EA 4075), UFR SHE-STAPS Department, University of La Réunion, 117 Rue du Général Ailleret, 97430, Le Tampon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle synergy analysis is increasingly used in domains such as neurosciences, robotics, rehabilitation or sport sciences to analyze and better understand motor coordination. The analysis uses dimensionality reduction techniques to identify regularities in spatial, temporal or spatio-temporal patterns of multiple muscle activation. Recent studies have pointed out variability in outcomes associated with the different methodological options available and there was a need to clarify several aspects of the analysis methodology. While synergy analysis appears to be a robust technique, it remain a statistical tool and is, therefore, sensitive to the amount and quality of input data (EMGs). In particular, attention should be paid to EMG amplitude normalization, baseline noise removal or EMG filtering which may diminish or increase the signal-to-noise ratio of the EMG signal and could have major effects on synergy estimates. In order to robustly identify synergies, experiments should be performed so that the groups of muscles that would potentially form a synergy are activated with a sufficient level of activity, ensuring that the synergy subspace is fully explored. The concurrent use of various synergy formulations-spatial, temporal and spatio-temporal synergies- should be encouraged. The number of synergies represents either the dimension of the spatial structure or the number of independent temporal patterns, and we observed that these two aspects are often mixed in the analysis. To select a number, criteria based on noise estimates, reliability of analysis results, or functional outcomes of the synergies provide interesting substitutes to criteria solely based on variance thresholds.

Indexed as

AlgorithmsElectromyographyHumansMuscle, SkeletalEMG processingMatrix factorizationModel selectionMotor modulePrimitives

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.