Evidence map›Paper›PMID 32466104›Full record

ArticleSensors (Basel, Switzerland)2020

Comparison of Trotting Stance Detection Methods from an Inertial Measurement Unit Mounted on the Horse's Limb.

Marie Sapone, Pauline Martin, Khalil Ben Mansour, Henry Château, Frédéric Marin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

5 authors.

Marie SaponeUniversité de Technologie de Compiègne, Alliance Sorbonne Université, UMR CNRS 7338 BioMécanique et BioIngénierie, 60200 Compiègne, France.
Pauline MartinEcole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.
Khalil Ben MansourUniversité de Technologie de Compiègne, Alliance Sorbonne Université, UMR CNRS 7338 BioMécanique et BioIngénierie, 60200 Compiègne, France.ORCID 0000-0002-7494-8107
Henry ChâteauEcole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.ORCID 0000-0002-1977-1521
Frédéric MarinUniversité de Technologie de Compiègne, Alliance Sorbonne Université, UMR CNRS 7338 BioMécanique et BioIngénierie, 60200 Compiègne, France.ORCID 0000-0003-0440-4849

Funding

Agence Nationale de la Recherche ANR 16-LCV2-0002-01Association Nationale de la Recherche et de la Technologie CIFRE n°2017/0267Région Nouvelle Aquitaine contract for support of innovative projects n°18002380
6 · The paper itself

Abstract

The development of on-board sensors, such as inertial measurement units (IMU), has made it possible to develop new methods for analyzing horse locomotion to detect lameness. The detection of spatiotemporal events is one of the keystones in the analysis of horse locomotion. This study assesses the performance of four methods for detecting

Indexed as

GaitLocomotionMovement DisordersAccelerometryAnimalsBiomechanical PhenomenaFemaleFootHorsesMalebiomechanicsgait eventshorseinertial measurement unitslocomotionmethods comparisonstride segmentation

Identifiers

PMID32466104
PMCPMC7288211

What OpenQuestion holds

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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.