Skip to content

Machine learning for Anonymous detection of an alcoholic by EEG signals

License

Notifications You must be signed in to change notification settings

EEGKit/3.eeg_recognation

 
 

Repository files navigation

Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism

Tweet

How it works

Full explanation in the paper - here

I used dataset from this site - here

but in finally I convert the dataset to the next file - "Data_after_convert.csv"

Recognition of alcoholism due to EEG signals, by - machine learning and deep learning, Python
preprocessing folder:
"3.1. Fourier_series.py"
"3.2. filter_WEILET.py"
"3.3. Correlation.py"
prepare dataset by file - "1.start_convert_data.py"
machine learning - "machine_learning_EEG.py"

Example of result for wavelet transform

alt tag

Example of result for Fast Fourier transform

alt tag

Example of result for Fast Fourier transform of the two-dimensional (2D) graphics data correlation (Python3.7, matplotlib)

alt tag

Example of type of machine learning dataset

alt tag

Citation

Ralhmatulin, I. (2020). Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism. arXiv:2010.11667

Licence

GNU General Public License v3.0

About

Machine learning for Anonymous detection of an alcoholic by EEG signals

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%