Case Study: Corify Care improves noninvasive heart arrhythmia mapping with MathWorks MATLAB and Simulink

Machine Learning Helps Fix Broken Hearts

Corify Care, a medical device startup, sought to address a significant limitation in cardiology: the imprecision of traditional electrocardiograms (ECGs) in locating the exact source of heart arrhythmias. This challenge made it difficult for doctors to determine if a patient was a good candidate for an invasive surgical procedure called catheter ablation, often leading to unnecessary operations. They turned to MathWorks and leveraged MATLAB to help develop a solution.

Using MATLAB for signal processing and machine learning, the Corify team developed the Acorys system, a non-invasive technology that creates a near real-time 3D map of the heart's electrical activity. The MathWorks tools enabled them to process all signals in parallel, filter out noise, and solve the complex inverse problem of electrocardiography. The result is a system that provides similar diagnostic precision to an invasive mapping procedure, which has been tested on nearly 200 patients. This allows doctors to better target treatments and avoid unnecessary surgeries, saving costs and improving patient outcomes as Corify Care works toward regulatory approval.