Overview / Usage

An ECG (Electrocardiogram) is a representation of the electric activity around the heart. It is very useful for detecting conditions like heart failure, hypertrophy, infarction, conduction problems and many more. However due to the amount of possible diagnoses that can be made from it, it sometimes take a lot of time and focus to interpret, and for doctors working long stressful sleepless shifts, interpreting this with best accuracy is always challenging. In this project I aim to create an AI algorithm that can interpret this ECG with as much accuracy as the doctor on call, though verification will be necessary to reduce fatal errors. Also this will give the advantage of reading thousands of ECGs in a much shorter time, and hopefully saving more lives in the process and reducing human error.