センサー技術で競走馬の致命的事故を20%削減(Sensors could help reduce fatal racehorse injuries by 20%)

2025-11-24 ワシントン州立大学 (WSU)

ワシントン州立大学(WSU)の研究チームは、競走馬の致命的な骨・腱損傷を約20%減らせる可能性をもつ新型ウェアラブル・センサーシステムを開発した。研究は、競走馬の脚部に取り付けた高感度モーションセンサーとAI解析を組み合わせ、肉眼では分からない初期の微細損傷や異常負荷パターンをレースや訓練中にリアルタイム検出するもの。数万件の走行データから負傷前に共通する“危険シグナル”が抽出され、システムは獣医師や調教師へ即時アラートを送信できる。初期損傷を特定し運動量を調整することで、疲労骨折や腱断裂といった致命傷の発生を大幅に減らせると推定される。研究者は、この技術が競馬産業全体の安全性向上に寄与するとともに、他のスポーツ動物や競技用ロボットのリスク管理にも応用できると述べている。

センサー技術で競走馬の致命的事故を20%削減(Sensors could help reduce fatal racehorse injuries by 20%)
A WSU research project found that the risk of fatal injuries among racehorses could be predicted by a wearable sensor feeding data to an algorithm. (photo by Philippe Oursel courtesy of Unsplash).

<関連情報>

慣性測定ユニットセンサーによって最も危険であると判断されたサラブレッドは、他の競走馬よりも高い割合で致命的な筋骨格損傷を負った Thoroughbreds deemed to be most at risk by inertial measurement unit sensors suffered a fatal musculoskeletal injury at a higher rate than other racehorses

Denise Mc Sweeney DVM, MS,Yuan Wang PhD,Scott E. Palmer VMD,Mikael Holmströem DVM, PhD
Journal of the American Veterinary Medical Association  Published:17 Sep 2025
DOI:https://doi.org/10.2460/javma.2

Abstract

Objective

To determine whether screening of racing Thoroughbreds with accelerometer-based inertial measurement unit sensors and a specifically trained algorithm identified horses most at risk for fatal musculoskeletal injury (FMI) and whether age, gender, race distance, and track surface were associated with increased risk.

Methods

Stride data from 28,481 races by 11,834 Thoroughbreds from July 25, 2021, until May 4, 2024, were assigned an algorithm-based risk score from 1 to 6 (6 = greatest risk). Logistic regression models examined the association between incidence of fatal injuries and risk scores within the previous 120 days, gender, age, race distance, and track surface. The Tukey adjustment assessed differences across risk score groups, track surfaces, and genders.

Results

74 horses were fatally injured. Risk score and probability of fatal injury were exponentially related. The most at-risk horses had risk scores of 6 and 0.4% of starts, but 4% of the musculoskeletal fatalities. Their probability of suffering a fatal injury was 44.6 times greater than horses with a risk score of 1. Age was not associated with injury risk. Males were at higher risk of fatality than females. Horses racing shorter distances had a greater risk of incurring a fatal injury. The fatality rate was higher on dirt and turf than a synthetic all-weather track.

Conclusions

Horses receiving a risk score of 6 were at significantly greater risk of suffering an FMI than other horses.

Clinical Relevance

Identification of the most at-risk horses with data derived from inertial measurement units followed by thorough lameness examinations and, when indicated, advanced diagnostic imaging should decrease the FMI rate.

5.04.0268

1201畜産
ad
ad
Follow
ad
タイトルとURLをコピーしました