Epileptic-Seizure-Detection

This repository has the code for the project on Deep Learning for identification of abnormal EEG on Epilepsy diagnosed patients.

To do:

Read research papers:

• ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification https://arxiv.org/pdf/1802.00308.pdf
• Automated Identification of Abnormal Adult EEGs: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868184/
• Python library for EEG Analysis: http://pyeeg.sourceforge.net/
• Python library for Wavelet Analysis: https://pywavelets.readthedocs.io/en/latest/
• Basics of Wavelet Analysis(youtube series): https://www.youtube.com/watch?v=QX1-xGVFqmw
• Understanding EEG for epileptic seizures
• Learning Robust Features using Deep Learning for Automatic Seizure Detection: https://arxiv.org/pdf/1608.00220.pdf

Implementation of deep learning models:

• Models in ChronoNet

Exploring Wavelet Analysis results:

• Exploratory data analysis after applying for Wavelet Analysis
• Applying Neural Networks to Transformed files?
• Combining techniques from existing deep learning models with Wavelet Analysis