Hey !!
In this repository, we are going to realize some epilepsy patients based on the datasets.
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Table of Contents
About The Repository
Built With
List of major frameworks/libraries used to bootstrap this project.
Getting Started
To get a local copy up and running follow these simple steps.
Prerequisites
1. Installing Python3
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In Ubuntu
sudo apt-get python3
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In Windows Command Prompt
Invoke-WebRequest https://www.python.org/downloads/python3.11.exe
Installation
installing and setting up the app
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Clone the repo
git clone https://github.com/msadeqsirjani/eeg-based-epilepsy-detection
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Install ... packages
... install
Usage
For more examples, please refer to the Documentation
Roadmap
-
Statistical features of signals
- Variance
- Mean
- Median
- Max
- Min
- Standard Deviation
- Square Root
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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).
Contributing
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
License
Distributed under the MIT License. See LICENSE
for more information.
Contact
Mohammad Sadeq Sirjani - @msadeqsirjani - m.sadeq.sirjani@gmail.com
Project Link: https://github.com/msadeqsirjani/eeg-based-epilepsy-detection