Quantitative lameness assessment in horses by using an accelerometer-based simple device: A preliminary study.

Abstract

BACKGROUND: Global technological advancements have shifted equine lameness diagnostics from purely subjective assessment toward more objective, quantitative methods. Traditional gait evaluations are increasingly being supplemented by innovative technologies to enhance diagnostic accuracy. AIM: This study aimed to determine if traditional gait assessment could be effectively complemented by quantitative measurements using an affordable, self-constructed device, the Lameness Detector 0.1, which incorporates inertial motion sensors. METHODS: A total of 42 adult sport horses diagnosed with hindleg lameness due to osteochondritis dissecans were assessed pre- and post-intra-articular anesthesia using both subjective evaluation and the Lameness Detector 0.1. Quantitative data were collected by recording electric impulses on the device's accelerometer across three axes (,,). Statistical analysis was performed to compare pre- and post-joint block values, stratified by lameness degree, and to analyze correlations between quantitative measurements and subjective evaluations. RESULTS: Significant differences were observed on the-axis (< 0.001) between pre- and post-joint block assessments, with a decrease in impulse counts post-block. For horses scoring 2/5 and 3/5 on the AEEP scale,-axis data also showed significant variation (< 0.05), with impulse numbers increasing as lameness scores decreased.-axis data demonstrated low specificity. Overall, the mean-axis impulse counts correlated strongly with subjective lameness scores (&#x2264; 0.006 for significant correlations). CONCLUSION: The Lameness Detector 0.1 provides a reliable and cost-effective means to complement subjective gait analysis. The quantitative data, particularly-axis impulses, correlate well with traditional lameness scores, suggesting potential value in integrating this device for enhanced diagnostic precision in equine lameness assessment.