ecg-mit-bih

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at. Maintained by physhik on GitHub, where it has earned 267 stars from the community.

It's actively developed around cardiology, cinc, cnn, and is a solid reference for anyone building with these tools.