Website
https://dataportal.arc.gov.au/NCGP/API/grants/LP210200798
Funding Status
Active
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Funded Activity Summary
Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk matrix. Recorded heart rate and ECG data will also be analysed using artificial intelligence to detect early evidence of the development of cardiac arrhythmias. The system will improve racehorse welfare, providing a simple interface to warn trainers when risk of injury becomes high, in order to prevent catastrophic breakdown.Funded Activity Details
Start Date: 02-2023
End Date: 02-2026
Funding Scheme: Linkage Projects
Funding Amount: $325,377.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Biological Mathematics | Animal Management | Veterinary Diagnosis and Diagnostics | Animal Production
ANZSRC Socio-Economic Objective (SEO)
Animal Welfare | Live Animals | Horses |
