Evidence map›Paper›PMID 35161452›Full record

ArticleSensors (Basel, Switzerland)2022

Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles.

Chloé Hatrisse, Claire Macaire, Marie Sapone, Camille Hebert, Sandrine Hanne-Poujade, Emeline De Azevedo, Frederic Marin, Pauline Martin, Henry Chateau

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Chloé HatrisseEcole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.
Claire MacaireEcole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.ORCID 0000-0002-2381-7465
Marie SaponeLIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
Camille HebertLIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
Sandrine Hanne-PoujadeLIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
Emeline De AzevedoEcole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.
Frederic MarinUniversité de Technologie de Compiègne (UTC), UMR CNRS 7338 BioMécanique et BioIngénierie, Alliance Sorbonne Université, 60200 Compiegne, France.ORCID 0000-0003-0440-4849
Pauline MartinLIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
Henry ChateauEcole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.ORCID 0000-0002-1977-1521
École Nationale Vétérinaire d'Alfort · FRUniversité de Technologie de Compiègne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of on-board technologies has enabled the development of quantification systems to monitor equine locomotion parameters. Their relevance among others relies on their ability to determine specific locomotor events such as foot-on and heel-off events. The objective of this study was to compare the accuracy of different methods for an automatic gait events detection from inertial measurement units (IMUs). IMUs were positioned on the cannon bone, hooves, and withers of seven horses trotting on hard and soft straight lines and circles. Longitudinal acceleration and angular velocity around the latero-medial axis of the cannon bone, and withers dorso-ventral displacement data were identified to tag the foot-on and a heel-off events. The results were compared with a reference method based on hoof-mounted-IMU data. The developed method showed bias less than 1.79%, 1.46%, 3.45% and -1.94% of stride duration, respectively, for forelimb foot-on and heel-off, and for hindlimb foot-on and heel-off detection, compared to our reference method. The results of this study showed that the developed gait-events detection method had a similar accuracy to other methods developed for straight line analysis and extended this validation to other types of exercise (circles) and ground surface (soft surface).

Indexed as

Hoof and ClawMetacarpusAnimalsBiomechanical PhenomenaForelimbGaitHorsesgait eventshorseinertial measurement unitslocomotionstance phase

Identifiers

PMID35161452
PMCPMC8840150
OpenAlexW4205351565

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.