Deep Learning for ECG Classification

Data

The data used in this project was simulated using Neurokit library and time series augmentation technique.
we add three ecg noise type to the data to perform our experiments.

Code

The code is divided as follows:

• utils folder contains necessary functions to simulate datasets.
• ecgsimulation folder contains functions to simulate datasets.
• classifiers folder contains three notebooks for training the deep neural network in our paper.

Prerequisites

• numpy
• pandas
• Neurokit
• scipy
• tsaug
• tensorflow
• keras