ArticleSensors (Basel, Switzerland)2023
Comparing Inertial Measurement Units to Markerless Video Analysis for Movement Symmetry in Quarter Horses.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Agreement between veterinarians and three objective evaluation systems in naturally occurring equine lameness.Equine veterinary journal · 2026Article
- Smartphone-Based Technologies in Equine Sports Medicine: Supporting Athlete Management-A Review.Sensors (Basel, Switzerland) · 2026Review
- A multimodal approach to equine thoracolumbar myofascial pain: integrating clinical examination, AI-based gait analysis, and the ridden horse pain ethogram.BMC veterinary research · 2026Article
- Agreement between subjective gait assessment and markerless video gait-analysis in endurance horses.Equine veterinary journal · 2026Article
- Assessing the Validity and Reliability of a Markerless Motion Capture System for Sagittal-Plane Gait Range of Motion.Cureus · 2025Article
- A Markerless Approach for Full-Body Biomechanics of Horses.Animals : an open access journal from MDPI · 2025Article
- Short-Term Impact of Dry Needling Treatment for Myofascial Pain on Equine Biomechanics Through Artificial Intelligence-Based Gait Analysis.Animals : an open access journal from MDPI · 2025Article
- Vertical Movement of Head, Withers, and Pelvis of High-Level Dressage Horses Trotting in Hand vs. Being Ridden.Animals : an open access journal from MDPI · 2025Article
- Objective movement asymmetry in horses is comparable between markerless technology and sensor-based systems.Equine veterinary journal · 2025Article
- Objective Assessment of Equine Locomotor Symmetry Using an Inertial Sensor System and Artificial Intelligence: A Comparative Study.Animals : an open access journal from MDPI · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundWith an increasing number of systems for quantifying lameness-related movement asymmetry, between-system comparisons under non-laboratory conditions are important for multi-centre or referral-level studies. This study compares an artificial intelligence video app to a validated inertial measurement unit (IMU) gait analysis system in a specific group of horses.
methodsTwenty-two reining Quarter horses were equipped with nine body-mounted IMUs while being videoed with a smartphone app. Both systems quantified head and pelvic movement symmetry during in-hand trot (hard/soft ground) and on the lunge (left/right rein, soft ground). Proportional limits of agreement (pLoA) were established.
resultsWidths of pLoA were larger for head movement (29% to 50% in-hand; 22% to 38% on lunge) than for pelvic movement (13% to 24% in-hand; 14% to 24% on lunge).
conclusionThe between-system pLoAs exceed current "lameness thresholds" aimed at identifying the affected limb(s) in lame horses. They also exceed published limits of agreement for stride-matched data but are similar to repeatability values and "lameness thresholds" from "non-lame" horses. This is encouraging for multi-centre studies and referral-level veterinary practice. The narrower pLoA values for pelvic movement asymmetry are particularly encouraging, given the difficulty of grading hind limb lameness "by eye".
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