PyEEGpipeline
A complete pipeline for reading preprocessing and classification of EEG data using different statistical ML models and different deep Learning models
Install / Use
/learn @utkarshshukla2912/PyEEGpipelineREADME
EEG Pipeline
├── dataset/
│ ├── class1/ eg happy
| | ├── datafile1.mat or datafile1.edf or datafile1.csv
| | ├── datafile2.mat or datafile2.edf or datafile2.csv
| | └── datafile3.mat or datafile3.edf or datafile3.csv
│ ├── class2/ eg sad
| | ├── datafile1.mat or datafile1.edf or datafile1.csv
| | ├── datafile2.mat or datafile2.edf or datafile2.csv
| | └── datafile3.mat or datafile3.edf or datafile3.csv
│ └── class3/ eg calm
| ├── datafile1.mat or datafile1.edf or datafile1.csv
| ├── datafile2.mat or datafile2.edf or datafile2.csv
| └── datafile3.mat or datafile3.edf or datafile3.csv
|
└── objects/
├── preProcessedData/
| ├── datafile2.npy
| └── datafile2.npy
└── dataFeatures/
└── featureExtracted.csv
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