MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
Project description
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
- Documentation: https://min2net.github.io
Getting started
Dependencies
- Python==3.6.9
- tensorflow-gpu==2.2.0
- tensorflow-addons==0.9.1
- scikit-learn>=0.24.1
- wget>=3.2
- Create
conda
environment with dependencies
$ wget https://raw.githubusercontent.com/IoBT-VISTEC/MIN2Net/main/environment.yml
$ conda env create -f environment.yml
$ conda activate min2net
Installation:
- Using pip
$ pip install min2net
- Using the released python wheel
$ wget https://github.com/IoBT-VISTEC/MIN2Net/releases/download/v1.0.0/min2net-1.0.0-py3-none-any.whl
$ pip install min2net-1.0.0-py3-none-any.whl
Citation
To cited our paper
P. Autthasan et al., "MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2021.3137184.
@ARTICLE{9658165,
author={Autthasan, Phairot and Chaisaen, Rattanaphon and Sudhawiyangkul, Thapanun and
Kiatthaveephong, Suktipol and Rangpong, Phurin and Dilokthanakul, Nat
and Bhakdisongkhram, Gun and Phan, Huy and Guan, Cuntai and
Wilaiprasitporn, Theerawit},
journal={IEEE Transactions on Biomedical Engineering},
title={MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery
EEG Classification},
year={2021},
volume={},
number={},
pages={1-1},
doi={10.1109/TBME.2021.3137184}}
License
Copyright © 2021-All rights reserved by INTERFACES (BRAIN lab @ IST, VISTEC, Thailand). Distributed by an Apache License 2.0.
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