Horseback riding has surged in popularity, and horses hold significant economic and emotional value. Monitoring
behavior is crucial for assessing a horse's health and welfare, especially since behavioral changes often precede pain.
Colic, a severe abdominal pain in horses, can be fatal if not detected and treated promptly. While visual observation
remains the primary detection method, it is labor-intensive and can miss subtle signs, highlighting the need for a more
reliable, automated system. Recognizing this challenge, we have developed a model that accurately detects early signs
of colic in horses using leg accelerometer data. Our algorithm, validated by veterinarians, achieve over 91% accuracy in
colic detection. In the equine care landscape, various wearable technologies exist to monitor horse health. However,
many horse owners are hesitant about wearable technologies, fearing they might disrupt the horse's natural behavior or
such as chafing, eating the casing, or even injuries if they get caught in something. Given the success of our algorithms
and the reservations about wearables, the next logical progression is the development of an implantable sensor for
horses. This device would revolutionize colic detection, making it more accurate, timely, and efficient, while addressing
the concerns of horse owners.