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Heartbeat Classification using ECG

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.

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Built at SSOC(Social Summer Of Code)

Created on 1st October 2022

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Heartbeat Classification using ECG

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.

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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

Keras

Python

Transfer Learning

Convolutional neural network

Discussion

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