Equine2

We won a project that aims to improve the health of racehorses by developing a web application with back-end automation for processing ECG data files pre- and post-exercise to identify horses with equine arrhythmia. The application will incorporate pre-existing algorithms developed in C++, Matlab, and R, and will feature a secure dashboard interface for team members to log in and perform tasks.