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Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840150/ https://www.ncbi.nlm.nih.gov/pubmed/35161452 http://dx.doi.org/10.3390/s22030703 |
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author | Hatrisse, Chloé Macaire, Claire Sapone, Marie Hebert, Camille Hanne-Poujade, Sandrine De Azevedo, Emeline Marin, Frederic Martin, Pauline Chateau, Henry |
author_facet | Hatrisse, Chloé Macaire, Claire Sapone, Marie Hebert, Camille Hanne-Poujade, Sandrine De Azevedo, Emeline Marin, Frederic Martin, Pauline Chateau, Henry |
author_sort | Hatrisse, Chloé |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-8840150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88401502022-02-13 Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles Hatrisse, Chloé Macaire, Claire Sapone, Marie Hebert, Camille Hanne-Poujade, Sandrine De Azevedo, Emeline Marin, Frederic Martin, Pauline Chateau, Henry Sensors (Basel) Article 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). MDPI 2022-01-18 /pmc/articles/PMC8840150/ /pubmed/35161452 http://dx.doi.org/10.3390/s22030703 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hatrisse, Chloé Macaire, Claire Sapone, Marie Hebert, Camille Hanne-Poujade, Sandrine De Azevedo, Emeline Marin, Frederic Martin, Pauline Chateau, Henry Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles |
title | Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles |
title_full | Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles |
title_fullStr | Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles |
title_full_unstemmed | Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles |
title_short | Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles |
title_sort | stance phase detection by inertial measurement unit placed on the metacarpus of horses trotting on hard and soft straight lines and circles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840150/ https://www.ncbi.nlm.nih.gov/pubmed/35161452 http://dx.doi.org/10.3390/s22030703 |
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