3.eeg_recognation
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Machine learning for Anonymous detection of an alcoholic by EEG signals
Python (deep learning and machine learning) for EEG signal processing on the example of recognizing the disease of alcoholism
- How it Works
- Example of result for wavelet transform
- Example of result for Fast Fourier transform
- Example of type of machine learning dataset
- Hardware and Signal processing demonstarations
- Citation
- Licence
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
Example of result for Fast Fourier transform
Example of result for Fast Fourier transform of the two-dimensional (2D) graphics data correlation (Python3.7, matplotlib)
Example of type of machine learning dataset
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