Evidence map›Paper›PMID 42122465›Full record

ArticleSensors (Basel, Switzerland)2026

Comparison Between Inertial Sensor and Video-Based Detection of Spatiotemporal Limb Movement Parameters During Equine Swimming.

Frederic Marin, Chloé Giraudet, Pauline Gaulmin, Claire Moiroud, Emeline De Azevedo, Chloé Hatrisse, Khalil Ben Mansour, Pauline Martin, Fabrice Audigie, Henry Chateau

Abstract readComparative Study
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

10 authors.

Frederic MarinDepartment of Movement Science for Prevention and Rehabilitation, Institute of Human Movement Science and Health, Chemnitz University of Technology, D-09111 Chemnitz, Germany.ORCID 0000-0003-0440-4849
Chloé GiraudetLaboratoire de BioMécanique et BioIngénierie (UMR CNRS 7338), Université de Technologie de Compiègne (UTC), F-60200 Compiègne, France.ORCID 0000-0003-4489-7123
Pauline GaulminUnit Diseases of the Athlete Horse: Pathophysiology, Prevention, Management (ACAP3), Ecole Nationale Vétérinaire d'Alfort, F-14430 Goustranville, France.ORCID 0009-0006-6078-8073
Claire MoiroudUnit Diseases of the Athlete Horse: Pathophysiology, Prevention, Management (ACAP3), Ecole Nationale Vétérinaire d'Alfort, F-14430 Goustranville, France.ORCID 0000-0002-2807-295X
Emeline De AzevedoUnit Diseases of the Athlete Horse: Pathophysiology, Prevention, Management (ACAP3), Ecole Nationale Vétérinaire d'Alfort, F-14430 Goustranville, France.
Chloé HatrisseLaboratoire de Biomécanique et Mécanique des Chocs (LBMC) UMR_T 9406, Université Claude Bernard Lyon 1, F-69675 Bron Cedex, France.
Khalil Ben MansourLaboratoire de BioMécanique et BioIngénierie (UMR CNRS 7338), Université de Technologie de Compiègne (UTC), F-60200 Compiègne, France.ORCID 0000-0002-7494-8107
Pauline MartinLIM France, 24300 Nontron, France.ORCID 0000-0002-3571-4244
Fabrice AudigieUnit Diseases of the Athlete Horse: Pathophysiology, Prevention, Management (ACAP3), Ecole Nationale Vétérinaire d'Alfort, F-14430 Goustranville, France.ORCID 0000-0001-8664-7937
Henry ChateauUnit Diseases of the Athlete Horse: Pathophysiology, Prevention, Management (ACAP3), Ecole Nationale Vétérinaire d'Alfort, F-14430 Goustranville, France.ORCID 0000-0002-1977-1521

Funding

Agence Nationale de la Recherche ANR-20-CE19-0016
6 · The paper itself

Abstract

Equine swimming is increasingly used for injury prevention and rehabilitation, but objective analysis of movement during swimming remains limited compared to land-based locomotion. Spatiotemporal parameters are essential for evaluating therapeutic outcomes, yet capturing these parameters is technically challenging due to difficulties in observing limb motion in water. Inertial sensors, already widely applied in equine science, offer a promising solution for measuring swimming kinematics objectively. The objective of this study was to evaluate the reliability of inertial sensors placed on equine distal limbs in detecting key spatiotemporal events during swimming by comparing it with video-based detection made by veterinarians. For the duration of the hindlimb swimming cycle, 24 data values were analysed and showed an "excellent" agreement, with an intraclass correlation coefficient = 0.96, 95% CI: 0.904-0.983, and Bland-Altmann analysis showed an upper limit of agreement of 50 ms (95% CI: 70 ms, 30 ms) and lower one of -60 ms (95% CI: -40 ms, -80 ms). The estimates of the "swimming" duty factor of the hindlimb (n = 24) demonstrated "moderate" to "excellent" with intraclass correlation of 0.82 (95% CI: 0.625-0.920) and limits of agreement of 4.39% (95% CI: 6.21%, 2.53%) and -5.28% (95% CI: -3.42%, -7.14%). The results of the forelimb were mixed, suggesting that the cycle duration and "swimming" duty factor parameters determined for this limb should be used with caution. Overall, the findings confirm that inertial sensors, particularly on the hindlimbs, provide reliable spatiotemporal measurements and are well suited for studying equine swimming.

Indexed as

ExtremitiesHindlimbSwimmingVideo RecordingAnimalsBiomechanical PhenomenaHorsesMovementbiomechanicshorseinertial measurement unitsmotion analysisspatiotemporal parametersswimmingwearable sensors

Identifiers

PMID42122465
PMCPMC13165611

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.