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Hey !!
In this repository, we are going to realize some epilepsy patients based on the datasets.
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Table of Contents
List of major frameworks/libraries used to bootstrap this project.
To get a local copy up and running follow these simple steps.
-
sudo apt-get python3
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Invoke-WebRequest https://www.python.org/downloads/python3.11.exe
installing and setting up the app
-
Clone the repo
git clone https://github.com/msadeqsirjani/eeg-based-epilepsy-detection
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Install ... packages
... install
For more examples, please refer to the Documentation
-
Statistical features of signals
- Variance
- Mean
- Median
- Max
- Min
- Standard Deviation
- Square Root
-
Entropic features of signals
- Permutation > More Details
- Singular Value Decomposition > More Details
- Approximate > More Details
- Sample > More Details
- Spectral > More Details
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Heuristic features of signals
- Zero Crossing Rate > More Details
- Peak 2 Peak > More Details
- Power Spectral Density > More Details
- Signal > More Details
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Frequency-Based features of signals
- Fast Fourier Transform (FFT) > More Details
- 2-D Fast Fourier Transform (FFT2) > More Details
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE
for more information.
Mohammad Sadeq Sirjani - @msadeqsirjani - [email protected]
Project Link: https://github.com/msadeqsirjani/eeg-based-epilepsy-detection