This repo contains the code for the paper presented at Health-Intelligence Workshop, AAAI 2018 "Learning disentangled representations from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia" [Link]
As the experiments involved private dataset, the data loader are defined to take random number with same dimensions as input data.
- PyTorch
- Numpy
train_{modelName}.py contains the training procedure of the model.
models.py contains the models used in the experiments.
utils.py contains utility functions.
eval.py contains the evaluation [i.e. linear classifier] to evaluate the model.