kolcs / bionic_apps

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Bionic Applications

A Brain-Computer Interface and EEG & EMG signal processing tool.

Description

This project is originally designed for the BCI discipline of the Cybathlon competition by the Ebrainers.

Installation

  1. Download git project

  2. Download miniconda and install it.

  3. Create a new environment called ''bci'' with python > 3.7 and < 3.11

    conda create --name bci python=3.10

  4. activate environment

    conda activate bci

  5. install requirements

    pip install -r /path/to/requirements.txt

Public Databases

Usage

Use examples can be found in folder examples/

Citing

If you use this code in a scientific publication, please cite us as:

@article{kollod_closed_2023,
	title = {Closed loop {BCI} system for {Cybathlon} 2020},
	volume = {10},
	issn = {2326-263X},
	doi = {10.1080/2326263X.2023.2254463},
	number = {2-4},
	journal = {Brain-Computer Interfaces},
	author = {Köllőd, Csaba and Adolf, András and Márton, Gergely and Wahdow, Moutz and Fadel, Ward and Ulbert, István},
	year = {2023},
	keywords = {EEG, FFT, Normalization, SVM, — BCI},
	pages = {114--128},
}

and

@article{kollod_deep_2023,
	title = {Deep Comparisons of Neural Networks from the {EEGNet} Family},
	volume = {12},
	issn = {2079-9292},
	doi = {10.3390/electronics12122743},
	pages = {2743},
	number = {12},
	journaltitle = {Electronics},
	author = {Köllőd, Csaba Márton and Adolf, András and Iván, Kristóf and Márton, Gergely and Ulbert, István},
	date = {2023-01},
}

as well as the MNE-Python software that is used by bionic_apps:

@article{GramfortEtAl2013a,
   title = {{{MEG}} and {{EEG}} Data Analysis with {{MNE}}-{{Python}}},
   author = {Gramfort, Alexandre and Luessi, Martin and Larson, Eric and 
      Engemann, Denis A. and Strohmeier, Daniel and Brodbeck, Christian and 
      Goj, Roman and Jas, Mainak and Brooks, Teon and Parkkonen, Lauri and 
      H{\"a}m{\"a}l{\"a}inen, Matti S.},
   year = {2013},
   volume = {7},
   pages = {1--13},
   doi = {10.3389/fnins.2013.00267},
   journal = {Frontiers in Neuroscience},
   number = {267}
}

Licensing

Bionic Applications is BSD-licenced (BSD-3-Clause):

This software is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.

Copyright (c) 2019-2023, authors of Bionic Applications. All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the names of bionic_apps authors nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.

This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

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