qtwang / iEDeaL

PVLDB Volume 16 Submission - iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges [Scalable Data Science]

iEDeaL

The codebase for PVLDB Volume 16 Submission - iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges [Scalable Data Science]

The code is being cleaning and will be updated.

Lemma 1 and Proof

https://qtwang.github.io/assets/pdf/iEDeaL-lemma1.pdf

Usage

1. Create config.json according to Conf.defaults in ./util/conf.py
2. Tune a model with the Experiment class in ./util/experiment.py, taking the config.json filepath as input.

TUEV dataset

Temple University Electroencephalography (EEG) Resources - https://isip.piconepress.com/projects/tuh_eeg/html/downloads.shtml