SEEG Project

Introduction

The focus point of this project is to research the difference between sleep of pre seizure and normal sleep.

Data preprocessing

You need read DataProcessing

How to run this project

MNE: pip install -U https://api.github.com/repos/mne-tools/mne-python/zipball/master

Python : pip install python

You need run ./Seeg_VMAML_Double_Vae.py

Content

data There are some data about raw seeg data, processed data, and channels information.

RelationNet including CNN coding, few-shot learning coding, and feature visualization methods.

test including testing methods.

util including reading .*edf file methods, and filtering methods.

MAML including MAML model.

VAML A new model that combines vae and maml.

VAE variational auto encode, coding seeg matrix.

Visualization SEEG heatmap calculation

Statistical files Experimental result

Metalearning_Baselines other meta learning models

pre_seizure: 1, normal_sleep:0