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Hatrisse C, Macaire C, Hebert C, Hanne-Poujade S, De Azevedo E, Audigié F, Ben Mansour K, Marin F, Martin P, Mezghani N, Chateau H, Chèze L. A Method for Quantifying Back Flexion/Extension from Three Inertial Measurement Units Mounted on a Horse's Withers, Thoracolumbar Region, and Pelvis. SENSORS (BASEL, SWITZERLAND) 2023; 23:9625. [PMID: 38139471 PMCID: PMC10747348 DOI: 10.3390/s23249625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 12/24/2023]
Abstract
Back mobility is a criterion of well-being in a horse. Veterinarians visually assess the mobility of a horse's back during a locomotor examination. Quantifying it with on-board technology could be a major breakthrough to help them. The aim of this study was to evaluate the accuracy of a method of quantifying the back mobility of horses from inertial measurement units (IMUs) compared to motion capture (MOCAP) as a gold standard. Reflective markers and IMUs were positioned on the withers, eighteenth thoracic vertebra, and pelvis of four sound horses. The horses performed a walk and trot in straight lines and performed a gallop in circles on a soft surface. The developed method, based on the three IMUs, consists of calculating the flexion/extension angle of the thoracolumbar region. The IMU method showed a mean bias of 0.8° (±1.5°) (mean (±SD)) and 0.8° (±1.4°), respectively, for the flexion and extension movements, all gaits combined, compared to the MOCAP method. The results of this study suggest that the developed method has a similar accuracy to that of MOCAP, opening up possibilities for easy measurements under field conditions. Future studies will need to examine the correlations between these biomechanical measures and clinicians' visual assessment of back mobility defects.
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Affiliation(s)
- Chloé Hatrisse
- Laboratoire de Biomécanique et Mécanique des Chocs (LBMC) UMR_T 9406, Université Gustave Eiffel, Université Claude Bernard Lyon 1, 69622 Lyon, France;
- CIRALE, USC 957 BPLC, Ecole Nationale Vétérinaire d’Alfort, 94700 Maisons-Alfort, France; (C.M.); (E.D.A.); (F.A.); (H.C.)
- Laboratoire d’Innovation Ouverte en Technologies de la Santé (LIO), Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada;
| | - Claire Macaire
- CIRALE, USC 957 BPLC, Ecole Nationale Vétérinaire d’Alfort, 94700 Maisons-Alfort, France; (C.M.); (E.D.A.); (F.A.); (H.C.)
- Laboratoire de BioMécanique et BioIngénierie (UMR CNRS 7338), Centre of Excellence for Human and Animal Movement Biomechanics (CoEMoB), Université de Technologie de Compiègne (UTC), Alliance Sorbonne Université, 60200 Compiègne, France; (K.B.M.); (F.M.)
- Labcom LIM-ENVA, LIM France, 24300 Nontron, France; (C.H.); (S.H.-P.); (P.M.)
| | - Camille Hebert
- Labcom LIM-ENVA, LIM France, 24300 Nontron, France; (C.H.); (S.H.-P.); (P.M.)
| | | | - Emeline De Azevedo
- CIRALE, USC 957 BPLC, Ecole Nationale Vétérinaire d’Alfort, 94700 Maisons-Alfort, France; (C.M.); (E.D.A.); (F.A.); (H.C.)
| | - Fabrice Audigié
- CIRALE, USC 957 BPLC, Ecole Nationale Vétérinaire d’Alfort, 94700 Maisons-Alfort, France; (C.M.); (E.D.A.); (F.A.); (H.C.)
| | - Khalil Ben Mansour
- Laboratoire de BioMécanique et BioIngénierie (UMR CNRS 7338), Centre of Excellence for Human and Animal Movement Biomechanics (CoEMoB), Université de Technologie de Compiègne (UTC), Alliance Sorbonne Université, 60200 Compiègne, France; (K.B.M.); (F.M.)
| | - Frederic Marin
- Laboratoire de BioMécanique et BioIngénierie (UMR CNRS 7338), Centre of Excellence for Human and Animal Movement Biomechanics (CoEMoB), Université de Technologie de Compiègne (UTC), Alliance Sorbonne Université, 60200 Compiègne, France; (K.B.M.); (F.M.)
| | - Pauline Martin
- Labcom LIM-ENVA, LIM France, 24300 Nontron, France; (C.H.); (S.H.-P.); (P.M.)
| | - Neila Mezghani
- Laboratoire d’Innovation Ouverte en Technologies de la Santé (LIO), Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada;
| | - Henry Chateau
- CIRALE, USC 957 BPLC, Ecole Nationale Vétérinaire d’Alfort, 94700 Maisons-Alfort, France; (C.M.); (E.D.A.); (F.A.); (H.C.)
| | - Laurence Chèze
- Laboratoire de Biomécanique et Mécanique des Chocs (LBMC) UMR_T 9406, Université Gustave Eiffel, Université Claude Bernard Lyon 1, 69622 Lyon, France;
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Crecan CM, Peștean CP. Inertial Sensor Technologies-Their Role in Equine Gait Analysis, a Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:6301. [PMID: 37514599 PMCID: PMC10386433 DOI: 10.3390/s23146301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 06/20/2023] [Accepted: 07/04/2023] [Indexed: 07/30/2023]
Abstract
Objective gait analysis provides valuable information about the locomotion characteristics of sound and lame horses. Due to their high accuracy and sensitivity, inertial measurement units (IMUs) have gained popularity over objective measurement techniques such as force plates and optical motion capture (OMC) systems. IMUs are wearable sensors that measure acceleration forces and angular velocities, providing the possibility of a non-invasive and continuous monitoring of horse gait during walk, trot, or canter during field conditions. The present narrative review aimed to describe the inertial sensor technologies and summarize their role in equine gait analysis. The literature was searched using general terms related to inertial sensors and their applicability, gait analysis methods, and lameness evaluation. The efficacy and performance of IMU-based methods for the assessment of normal gait, detection of lameness, analysis of horse-rider interaction, as well as the influence of sedative drugs, are discussed and compared with force plate and OMC techniques. The collected evidence indicated that IMU-based sensor systems can monitor and quantify horse locomotion with high accuracy and precision, having comparable or superior performance to objective measurement techniques. IMUs are reliable tools for the evaluation of horse-rider interactions. The observed efficacy and performance of IMU systems in equine gait analysis warrant further research in this population, with special focus on the potential implementation of novel techniques described and validated in humans.
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Affiliation(s)
- Cristian Mihăiță Crecan
- University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 400372 Cluj-Napoca, Romania
| | - Cosmin Petru Peștean
- University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 400372 Cluj-Napoca, Romania
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Pagliara E, Marenchino M, Antenucci L, Costantini M, Zoppi G, Giacobini MDL, Bullone M, Riccio B, Bertuglia A. Fetlock Joint Angle Pattern and Range of Motion Quantification Using Two Synchronized Wearable Inertial Sensors per Limb in Sound Horses and Horses with Single Limb Naturally Occurring Lameness. Vet Sci 2022; 9:vetsci9090456. [PMID: 36136672 PMCID: PMC9502055 DOI: 10.3390/vetsci9090456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/14/2022] [Accepted: 08/19/2022] [Indexed: 12/02/2022] Open
Abstract
Fetlock joint angle (FJA) pattern is a sensitive indicator of lameness. The first aim of this study is to describe a network of inertial measurement units system (IMUs) for quantifying FJA simultaneously in all limbs. The second aim is to evaluate the accuracy of IMUs for quantifying the sagittal plane FJA overground in comparison to bi-dimensional (2-D) optical motion capture (OMC). 14 horses (7 free from lameness and 7 lame) were enrolled and analyzed with both systems at walk and trot on a firm surface. All enrolled horses were instrumented with 8 IMUs (a pair for each limb) positioned at the dorsal aspect of the metacarpal/metatarsal bone and pastern and acquiring data at 200 Hz. Passive markers were glued on the center of rotation of carpus/tarsus, fetlock, and distal interphalangeal joint, and video footages were captured at 60 Hz and digitalized for OMC acquisition. The IMU system accuracy was reported as Root Mean Square Error (RMSE) and Pearson Correlation Coefficient (PCC). The Granger Causality Test (GCT) and the Bland−Altman analysis were computed between the IMUs and OMC patterns to determine the agreement between the two systems. The proposed IMU system was able to provide FJAs in all limbs using a patented method for sensor calibration and related algorithms. Fetlock joint range of motion (FJROM) variability of three consecutive strides was analyzed in the population through 3-way ANOVA. FJA patterns quantified by IMUs demonstrated high accuracy at the walk (RMSE 8.23° ± 3.74°; PCC 0.95 ± 0.03) and trot (RMSE 9.44° ± 3.96°; PCC 0.96 ± 0.02) on both sound (RMSE 7.91° ± 3.19°; PCC 0.97 ± 0.03) and lame horses (RMSE 9.78° ± 4.33°; PCC 0.95 ± 0.03). The two systems’ measurements agreed (mean bias around 0) and produced patterns that were in temporal agreement in 97.33% of the cases (p < 0.01). The main source of variability between left and right FJROM in the population was the presence of lameness (p < 0.0001) and accounted for 28.46% of this total variation. IMUs system accurately quantified sagittal plane FJA at walk and trot in both sound and lame horses.
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Affiliation(s)
- Eleonora Pagliara
- Department of Veterinary Science, University of Turin, 10095 Grugliasco, Italy
| | | | | | | | - Giacomo Zoppi
- Department of Veterinary Science, University of Turin, 10095 Grugliasco, Italy
| | | | - Michela Bullone
- Department of Veterinary Science, University of Turin, 10095 Grugliasco, Italy
| | - Barbara Riccio
- Department of Veterinary Science, University of Turin, 10095 Grugliasco, Italy
- Correspondence:
| | - Andrea Bertuglia
- Department of Veterinary Science, University of Turin, 10095 Grugliasco, Italy
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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. SENSORS 2022; 22:s22030703. [PMID: 35161452 PMCID: PMC8840150 DOI: 10.3390/s22030703] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/06/2022] [Accepted: 01/12/2022] [Indexed: 11/23/2022]
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).
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