Evidence map›Paper›PMID 42076462›Full record

ArticleSensors (Basel, Switzerland)2026

Side-Dependent Trunk Muscle Modulation During Sit-to-Stand After Stroke: An Exploratory EMG and Kinematic Study.

Grazia Cravero, Alice De Luca, Beatrice Lagomarsino, Carmelo Lentino, Giorgia Marchesi, Debora Siri, Camilla Pierella, Maura Casadio

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Grazia CraveroDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy.ORCID 0000-0001-7079-7404
Alice De LucaItalian Institute of Technology, 16145 Genoa, Italy.ORCID 0009-0001-5117-046X
Beatrice LagomarsinoDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy.ORCID 0009-0001-7964-8672
Carmelo LentinoRecovery and Functional Reeducation Unit, Rehabilitation Department, Santa Corona Hospital, 17027 Pietra Ligure, Italy.ORCID 0009-0006-1918-4673
Giorgia MarchesiMovendo Technology s.r.l., 16149 Genoa, Italy.ORCID 0000-0002-7864-3036
Debora SiriDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy.
Camilla PierellaDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy.ORCID 0000-0002-8108-9363
Maura CasadioDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy.ORCID 0000-0003-2338-8995

Funding

European Union - NextGenerationEU project ''RAISE - Robotics and AI for Socio-economic Empowerment'' ECS00000035
6 · The paper itself

Abstract

Sit-to-stand (STS) is a fundamental functional task frequently impaired after stroke and widely used in rehabilitation to assess motor control and balance. While lower-limb kinematic and muscular asymmetries during STS have been documented, the contribution of trunk muscle coordination to compensatory strategies has received limited attention. We investigated STS performance in seven individuals with chronic right-sided hemiparesis under two conditions (free arms and crossed arms) to characterize phase-dependent kinematic asymmetries and side-dependent trunk muscle modulation relevant to rehabilitation practice. Optoelectronic motion capture was synchronized with bilateral surface electromyography, providing time-aligned kinematic and neuromuscular signals for sensor-based assessment of STS. Participants exhibited prolonged and highly variable STS durations, along with ankle asymmetries during the rising and lowering phases and hip asymmetries during upright standing, indicating increased reliance on the less impaired limb. Electromyography revealed side-dependent modulation of trunk muscles, notably latissimus dorsi, erector spinae longissimus, and multifidus, characterized by a prolonged relative contribution on the more impaired side. These findings suggest that altered trunk muscle modulation contributes to compensatory STS strategies after stroke and highlight the importance of trunk-focused neuromuscular assessment to guide individualized rehabilitation interventions aimed at improving symmetry, postural stability, and movement efficiency.

Indexed as

ElectromyographyMuscle, SkeletalStrokeTorsoAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedMovementPostural BalancePostureStroke Rehabilitationelectromyographykinematicssit-to-standstroketrunk muscles

Identifiers

PMID42076462
PMCPMC13119967

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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.