Evidence map›Paper›PMID 41724899›Full record

Trial reportAnnals of biomedical engineering2026

Are Isokinetic Torque-Angle Models Derived from Healthy Subjects Applicable to Patients with Upper-Limb Neurological Motor Impairment?

Aurélie Tomezzoli, Boris Cassard, Emilie Leblong, Joël Hayter, Carole Anne, Linda Bodet, Charles Pontonnier

Registry-linked trialAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06608121 (Study for the Development and Evaluation of Personalised Muscle Effort Generation Models for Patients With Upper Limb Motor Deficits), which is not on this 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.

NCT06608121 nacompletednot on this map

Study for the Development and Evaluation of Personalised Muscle Effort Generation Models for Patients With Upper Limb Motor Deficits

TypeinterventionalSponsorPôle Saint HélierRan2024 to 2025Enrolled32ConditionsStroke, Multiple Sclerosis, Spinal Cord InjuriesArmsUpper limb isokinetic forces measurements
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

7 authors.

Aurélie TomezzoliUniv Rennes, Inria, CNRS, IRISA-UMR 6074, 35000, Rennes, France. aurelie.tomezzoli@inria.fr.ORCID http://orcid.org/0000-0003-0751-5552
Boris CassardFondation Saint-Hélier, 35000, Rennes, France.
Emilie LeblongFondation Saint-Hélier, 35000, Rennes, France.
Joël HayterFondation Saint-Hélier, 35000, Rennes, France.
Carole AnneFondation Saint-Hélier, 35000, Rennes, France.
Linda BodetFondation Saint-Hélier, 35000, Rennes, France.
Charles PontonnierUniv Rennes, Inria, CNRS, IRISA-UMR 6074, 35000, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUpper-limb motor impairments are common and affect quality of life. Shared-control robotic assistance systems driven by patients' residual effort generation capacities are being developed. These systems require the integration, into their control scheme, of knowledge about the maximum voluntary torque achievable by patients at each joint angle. This study aimed to quantify the performance of simplified mathematical models primarily developed to fit healthy individuals' torque-angle curves, as candidates for integration in the control scheme.

methods15 patients (6F, 9M, 62.7 ± 14.4 years) hospitalized in a French rehabilitation center for stroke (n = 10), multiple sclerosis (n = 4), or traumatic tetraplegia (n = 1) were included. Passive, then maximum concentric and eccentric torques were measured in the seated position, in shoulder external-internal rotation and in elbow flexion-extension, at an imposed speed of 30°/s, using a Con-Trex® isokinetic ergometer.

resultsThe normalized RMSE between modeled and experimental curves was 3.1 ± 2.0% of corresponding peak torques. Univariate linear models displayed no difference in nRMSE between mathematical models, but differences across patients (p < 0.001, R

conclusionRegardless of the mathematical model used, torque-angle curve modeling was globally less effective than that for healthy individuals, while still allowing consideration for future use for robotic assistance for the majority of patients. Further investigation of patient-related factors affecting model quality will be necessary to assess results' generalizability. TRIAL REGISTRATION NUMBER: ID-RCB: 2024-A01007-40, clinicaltrial.gov ID: NCT06608121.

Indexed as

Models, BiologicalMultiple SclerosisQuadriplegiaStrokeUpper ExtremityAdultAgedFemaleHumansMaleMiddle AgedTorqueEffort generation capacitiesIsokinetic dynamometerMultiple sclerosisMuscle strengthSpinal cord injuryStroke

Identifiers

PMID41724899

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.