Localization of Myocardial Infarction from 12 Lead ECG Empowered with Novel Machine Learning

There are multiple modalities used to diagnose abnormalities of the heart consisting of various invasive and noninvasive tests. Patients may undergo multiple tests, progressing to more invasive methods at the expense of patient risk and cost to the pair. HEARTio, through machine learning and algorithmic processing our proprietary software, hopes to improve the accuracy of the electrocardiography: a century old technology and the most commonly performed cardiac test. It is used to diagnose heart attacks, heart rhythm problems and operates as the gateway testing for patients undergoing cardiac evaluation. Myocardial infarction, or heart attacks, affect almost 800,000 Americans yearly [7] with time to treatment being the most important factor in recovery and therapy. We show in this paper that we are able to localize and detect myocardial infarctions at an accuracy above 99% by applying our system to the PTB database.