readme.txt

'''

This project is related to the paper :
[Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis, 
Claudio Meneses V., Jorge Littin C., David Coo Aqueveque., Juan Guerrero-Henriquez, Martin Vargas M.] 
https://doi.org/10.1016/j.bspc.2024.106302

If you use this algorithm in your research work, please cite this paper.

For more information, please conctact us to cmeneses@ucn.cl

'''

Additional information:
1) Youn can find the COP time series in "COP_Tests" folder, for each class: Healthy (HG), Diabetic (DG) and Neuropathic (DNG) participants.
2) Inside the folders, files are grouped in participants folders.
3) DAGA_2024.ipynb is a Google Colab file, then you can import it to check the code.
4) DAGA_2024.py is the Python code, you can check it.
5) Dataset_Full_Attr.csv is a dataset with feature extracted from time series. This is used to get median value (Path and F80).
6) Some csv files inside "Files" folder are used only for graphing data.