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Movement sensors show promise in identifying racehorses at injury risk

Date:
July 11, 2024
Source:
Washington State University
Summary:
A small 3-ounce sensor capable of recording 2,400 data points of movement in just one second being tested and refined by researchers could be key in reducing the number of injuries to racehorses. Researchers used the biometric sensors to track thoroughbreds as they raced and trained at some of the top racetracks in the country. Using collected data, the team was able to identify miniscule stride changes associated with increased risk of injury, allowing intervention before a catastrophic breakdown.
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A small 3-ounce sensor capable of recording 2,400 data points of movement in just one second being tested and refined by researchers at Washington State University could be key in reducing the number of injuries to racehorses.

Led by Dr. Warwick Bayly in WSU's College of Veterinary Medicine, researchers used the biometric sensors, developed by the company StrideSAFE, to track thoroughbreds as they raced and trained at some of the top racetracks in the country. Using collected data, the team was able to identify miniscule stride changes associated with increased risk of injury, allowing intervention before a catastrophic breakdown. The researchers highlighted three horses flagged in 2023 at Churchill Downs in a case study published in the Journal of the American Veterinary Association.

"These racehorses get extensive examinations before races, but catastrophic injuries still happen, and not because they stepped in a hole or took a bad step. A large percentage have a pre-existing pathology not readily apparent on clinical examination," said Dr. Denise Mc Sweeney, an equine surgery resident at WSU who was the first author on the study. "From our sensor data, we know most catastrophic injuries have a distinct stride pattern. Now we can see when there's something wrong with their strides and step in before a major injury occurs."

The sensors measure changes in the rate and direction in which a horse moves its legs and body, and generate graphs of its stride pattern. The data is processed by an algorithm and compared against an "ideal stride" derived from high-performing, sound racehorses. Using data from more than 6,500 starts, the algorithm also identifies similarities with strides produced by horses that suffered catastrophic injuries. Based on how far a stride deviates from ideal and how similar it is to a stride associated with an injury, the horse is assigned an injury risk factor ranging from 1 to 5. Horses with a 5 are 950 times more likely to suffer a catastrophic injury than those with a 1, which is close to the ideal stride. Of the horses tracked, 70% have fallen into category 1, with 3.5% in category 5.

"We know there are about 1.25 catastrophic injuries per 1,000 starts, but identifying those horses before such an event occurs is like finding a needle in a haystack, as they are often subjectively sound during a pre-race examination, and many don't show any decrease in performance," Mc Sweeney said. "But if you can narrow it down, like the 3.5% we had out of that group, it is a lot easier to intervene and hopefully prevent injuries."

To test and refine the algorithm, a sensor was placed on horses starting at Churchill Downs and Ellis Park in Kentucky from April 29 to July 2, 2023. Mc Sweeney was responsible for collecting clinical data on the high-risk horses.

In their case study, the team focused on a pair of 3-year-old colts and a 4-year-old stallion flagged as category 5. In each instance, the sensors alerted veterinarians and trainers to potential injury risks, prompting diagnostic imaging that confirmed an increased risk of catastrophic musculoskeletal injuries. Each horse avoided catastrophic injury after being given time to recover before returning to the track.

"These are prime examples of how this technology can prevent horses from breaking," Mc Sweeney said. "With this information, the trainers and their vets were able to put the brakes on, and now these horses are going on to have longer careers and, hopefully, avoid a catastrophic injury."

Mc Sweeney is hopeful the sensors will become standard for all thoroughbred racing and training.

"I believe this is going to make a huge impact," she said. "The sensors can save the lives of horses and jockeys -- they already have."

WSU has been working with StrideSAFE since 2020 when the sensors were tested at the campus' Hitchcock Research Racetrack. WSU is the only university in the United States with a dedicated research racetrack. From there the sensors were deployed at Emerald Downs Racetrack in Seattle and have since been used at 10 major tracks across the U.S., including Saratoga, Belmont, Keeneland and Churchill Downs.

The project was supported by a grant from the Kentucky Equine Drug Research Council. In addition to the WSU researchers, co-authors on the study include researchers Dr. Mikael Holmstrom, Kevin Donohue and David Lambert, who are employees and shareholders of StrideSafe. The WSU researchers have no vested interest in the StrideSafe company.


Story Source:

Materials provided by Washington State University. Original written by Devin Rokyta. Note: Content may be edited for style and length.


Journal Reference:

  1. Denise Mc Sweeney, Mikael Holmström, Kevin D. Donohue, David H. Lambert, Warwick M. Bayly. Using accelerometers to identify a high risk of catastrophic musculoskeletal injury in three racing Thoroughbreds. Journal of the American Veterinary Medical Association, 2024; 1 DOI: 10.2460/javma.24.02.0114

Cite This Page:

Washington State University. "Movement sensors show promise in identifying racehorses at injury risk." ScienceDaily. ScienceDaily, 11 July 2024. <www.sciencedaily.com/releases/2024/07/240711111441.htm>.
Washington State University. (2024, July 11). Movement sensors show promise in identifying racehorses at injury risk. ScienceDaily. Retrieved December 22, 2024 from www.sciencedaily.com/releases/2024/07/240711111441.htm
Washington State University. "Movement sensors show promise in identifying racehorses at injury risk." ScienceDaily. www.sciencedaily.com/releases/2024/07/240711111441.htm (accessed December 22, 2024).

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