Deep Learning for ECG Heartbeat Classification
Program: Data Science Master's Degree
Location: Not Specified (remote)
Student: Dax Dickenson
The project was a case study to evaluate the feasibility of using deep learning to classify ECG signals. The neural network was modeled after another study but ended up being a simplified version. Much more research needs to be done to make this model useful in the clinical setting.