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LATEST ARTICLES

Michael Blomeley: How Equiscience is helping racehorse training with data science
Michael Blomeley, foreman and data analyst for Danny O'Brien Racing in Australia, shares his experience...
Jose Gutierrez & Equiscience: Enhancing horse training with data analysis
In the world of horse racing, success is often attributed to instinct, experience, and tradition....
Caroline Jennings & Equiscience : revolutionizing equine research
In the world of horse training, the balance between tradition and innovation is crucial. Caroline...
How to get started with data collection?
In the horseracing industry, more and more trainers and owners are exploring the combination of human...
8 reasons to do Equiscience Essentials
Data is transforming the world of racing and equestrian sports. If you're a trainer, owner, rider, or...

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Improving arrhythmia detection in racehorses with predicted covariates on electrocardiograms – EQUIMETRE VET

Improving arrhythmia detection in racehorses with predicted covariates on electrocardiograms – EQUIMETRE VET

This poster is part of the arrhythmia detection project: the development of a statistical model for the detection and classification of cardiac arrhythmias in sports horses, carried by the EQUIMETRE tool. This first work enables to formalize the problem of arrhythmia detection and thus to translate it mathematically and propose a first solution.

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Veterinary diagnostic tools: state of the art

Veterinary diagnostic tools: state of the art

Nowadays, an increasing number of veterinary decision support tools are available on the market, providing clear images, accurate measurements and quantified data. The first veterinary diagnostic tools were of course imaging techniques, with the arrival of radiography more than a century ago, but recent innovations have also challenged traditional practices.

In this article, we will review the different tools available for veterinarians to support their expertise and diagnosis.

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Video analysis: an additional resource for locomotion examinations

Video analysis: an additional resource for locomotion examinations

In equine veterinary medicine, video images allow, among other things, to see joint movements in more detail, to measure them and to quantify them. In fact, several factors can influence perception when evaluating a horse’s locomotion, such as the presence of fur, which makes it difficult to appreciate joint movements in the lower limb area.

But how do veterinarians and researchers use this technique? How can video recording, correlated with the quantification of locomotion, support veterinary diagnosis?

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How can a quantification tool be integrated into veterinary practice?

How can a quantification tool be integrated into veterinary practice?

Objective assessment of locomotion is gradually becoming a standard procedure in equine clinics worldwide, as it overcomes some of the limitations inherent in subjective gait analysis (Serra Braganca et al. 2018).
Mais comment s’adapter à ces changements ? Quelle stratégie adopter pour exploiter au mieux les atouts de ces nouveaux outils ?

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