https://github.com/okbalefthanded/bci-baseline

Brain-Computer Interface EEG based data feature extraction and classification algorithms
https://github.com/okbalefthanded/bci-baseline

baseline bci brain-computer-interface classification eeg feature-extraction machine-learning

Last synced: 5 days ago
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Brain-Computer Interface EEG based data feature extraction and classification algorithms

• Host: GitHub
• URL: https://github.com/okbalefthanded/bci-baseline
• Owner: okbalefthanded
• License: lgpl-3.0
• Created: 2020-04-22T01:43:17.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-12-19T15:02:16.000Z (about 1 month ago)
• Last Synced: 2024-12-19T15:34:34.044Z (about 1 month ago)
• Topics: baseline, bci, brain-computer-interface, classification, eeg, feature-extraction, machine-learning
• Language: Python
• Homepage:
• Size: 43 KB
• Stars: 6
• Watchers: 2
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

        
# BCI-Baseline

Brain-Computer Interface (BCI) specific methods for feature extraction and classification in a single repo implemented following  [Scikit-learn API](https://scikit-learn.org/stable/modules/classes.html)

## Motivation

BCI methods are usually developed in MATLAB or added to biosignals processing toolboxes, here we provied a simple an easy implementation of those methods in a unified API.

## Installation

```

pip install git+https://github.com/okbalefthanded/BCI-Baseline.git

```

## Usage

follow demo notebooks 

## Contribution

Pull requests are always welcome, follow contribution guidelines.