Identifying_sleep_spindles_with_multichannel_EEG_and_classification_optimization

Scripts and figures that included in the paper

1. Figure folder contains the final figures that used in the paper
2. annotations folder contains the manually marked sleep spindles, and also k-complexes and sleep stages
3. eegPinelineDesign.py (I know, I can't spell) is the script contains all the functions I have ever used during this project
4. Filter_based_and_thresholding.py is the main function of the model
5. threshold_optimization.py is the script you can use to optimize the lower and higher thresholds for one dataset
6. In the paper, we used permutation test to compare classification results pair-wise. Thus, we publish the code that is used for the test.