Aawedha

Aawedha (عاودها means repeate it or do it again in Algerian arabic) is a deep learning learning package based on Keras with Tensorflow backend, for EEG based Brain-Computer Interface (BCI) decoding research and application.

Compatible with Python 3.6 and above

Motivation

The main goal for this package is to provide a flexible and complete analysis and benchmarking tool for Deep Learning research in BCI.

Features

Aawedha provides a complete set of operations from raw data preprocessing to model evaluation and results visualization. A regular workflow using this package consists of 5 instructions:

• Create a dataset: preprocess raw data to create epoched EEG trials (run once)
• Define an Evaluation : Single subject or Cross Subject analysis with the data and model.
• Generate a random data split.
• Run evaluation : train and test model.
• Visualize the results and what the model has learnt.

The tables below show the available datasets and models, for a detailed tutorial on running the evaluations follow the colaboratory notebook in the examples folder.

Data

Deep Learning Models

Installation

First, clone Aawedha using git:

git clone https://github.com/okbalefthanded/aawedha.git

Then, cd to the Aawedha folder, install requirements using pip then proceed to package setup:

cd aawedha

pip install -r requirements.txt

python setup.py install

Usage

Follow the colab notebooks in /examples

Citation

Acknowledgment