Heartbeat Classification using ECG
This Deep Learning project takes ECG reading of the heart as an input and predicts the one among the following class Normal beats, Fusion beats, Superventricular beats, and Ventricular ectopic beats.
Heartbeat Classification using ECG
This Deep Learning project takes ECG reading of the heart as an input and predicts the one among the following class Normal beats, Fusion beats, Superventricular beats, and Ventricular ectopic beats.
The problem Heartbeat Classification using ECG solves
This application can be used by doctors to accurately predict the chances of a person to have a heart attack in near future well before.
Challenges I ran into
The challenges that I ran into were:
(1) Deciding which machine learning algorithm to choose.
(2) Deciding the best possible Gradient Descent algorithm.
finally some minor bugs here and there.
Technologies used
Discussion