Evidence map›Paper›PMID 39564564›Full record

ArticleIEEE open journal of engineering in medicine and biology2025

Synergy-Dependent Center-of-Mass Control Strategies During Sit-to-Stand Movements.

Simone Ranaldi, Leonardo Gizzi, Giacomo Severini, Cristiano De Marchis

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Age-dependent synergistic control of sit-to-stand motion.European journal of applied physiology · 2026
    Article
  2. 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

4 authors.

Simone RanaldiDepartment of Industrial, Electronics and Mechanical EngineeringRoma Tre University 00154 Rome Italy.ORCID https://orcid.org/0000-0002-7849-0893
Leonardo GizziInstitute for Modelling and Simulation of Biomechanical SystemsUniversity of Stuttgart 70174 Stuttgart Germany.ORCID https://orcid.org/0000-0003-3009-6261
Giacomo SeveriniSchool of Electrical and Electronic EngineeringUniversity College Dublin 4 Dublin Ireland.ORCID https://orcid.org/0000-0002-2289-9331
Cristiano De MarchisDepartment of EngineeringUniversity of Messina 98122 Messina Italy.ORCID https://orcid.org/0000-0003-1522-7454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characterization, through the concept of muscle synergies, of clinical functional tests is a valid tool that has been widely adopted in the research field. While this theory has been exploited for a description of the motor control strategies underlying the biomechanical task, the biomechanical correlate of the synergistic activity is yet to be fully described. In this paper, the relationship between the activity of different synergies and the center of mass kinematic patterns has been investigated; in particular, a group of healthy subjects has been recruited to perform simple sit-to-stand tasks, and the electromyographic data has been recorded for the extraction of muscle synergies. An optimal model selection criterion has been adopted for dividing the participants by the number of synergies characterizing their own control schema. Synergistic activity has then been mapped onto the phase-space description of the center of mass kinematics, investigating whether a different number of synergies implies the exploration of different region of the phase-space itself. Results show how using an additional motor module allow for a wider trajectory in the phase-space, paving the way for the use of kinematic feedback to stimulate the activity of different synergies, with the aim of defining synergy-based rehabilitation or training protocols.

Indexed as

Muscle synergiesphase space analysissit-to-stand

Identifiers

PMID39564564
PMCPMC11573388

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Registered trials

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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.