Influence of trimming, hoof angle and shoeing on breakover duration in sound horses examined with hoof‐mounted inertial sensors
Autor: | Stefan Lux, Franziska Theresa Jung, Ramon Bos, Jenny Hagen, Joris Brouwer |
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Rok vydání: | 2021 |
Předmět: |
musculoskeletal diseases
Hoof and Claw Heel 040301 veterinary sciences Hoof Context (language use) Walking Barefoot 0403 veterinary science Inertial measurement unit Forelimb otorhinolaryngologic diseases medicine Animals Horses Gait Orthodontics General Veterinary technology industry and agriculture 0402 animal and dairy science 04 agricultural and veterinary sciences General Medicine 040201 dairy & animal science Biomechanical Phenomena Shoes body regions medicine.anatomical_structure Duration (music) Gait analysis Trimming Geology |
Zdroj: | Veterinary Record. 189 |
ISSN: | 2042-7670 0042-4900 |
Popis: | Objective Aim of the current in vivo, observational study was to investigate the effect of trimming, heel elevation and different types of shoeing on breakover duration (BreakD) with a novel, hoof-mounted inertial measurement unit (IMU) sensor system. Methods Ten sound, crossbred horses were examined barefoot before and after trimming fitted with an IMU sensor at the dorsal hoof wall. Additionally, application of 5° heel wedges, plain steel shoes, rolled-toe shoes and palmarly-placed quarter-clip shoes was tested. Horses were guided in a straight line on firm ground. Obtained data were speed corrected prior to calculations testing the influence of different manipulations for their significance on BreakD. Results Trimming had no significant influence on BreakD. Heel elevation caused a significant decrease of BreakD in walk and trot. Shoeing with a plain steel shoe resulted in a significant increase in BreakD in walk. This could be rescinded by creating a rolled toe or placing the shoe palmarly. Conclusion Obtained results emphasize the use of heel wedges or rolled-toe and palmarly-placed shoes to ease breakover in the context of therapeutic shoeing. Hoof-mounted IMU sensors with high resolution seem to be a practical and valuable approach to accurately examine BreakD and factors influencing this parameter. |
Databáze: | OpenAIRE |
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