-
Notifications
You must be signed in to change notification settings - Fork 0
/
readme.txt
31 lines (24 loc) · 1.33 KB
/
readme.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
'''
This project is related to the paper :
[Identifying neuropathies through time series analyses of postural tests,
Claudio Meneses V., Jorge Littin C., David Coo Aqueveque., Juan Guerrero-Henriquez, Martin Vargas M.]
https://doi.org/10.1016/j.gaitpost.2022.09.090
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, Diabetic and Neuropathic participants.
2) Inside the folders, files are grouped in Test folders, that is:
# "DNG" for Diabetic Neuropathic Group,"DG" for Diabetic Group and "HG" for Healthy Group.
# Inside each folder you will find the files of:
# Eyes open on stable surface (EO).
# Eyes open on unstable surface (EOUS).
# Eyes open on stable surface with dual task (EODT).
# Eyes open on unstable surface with dual task (EOUSDT).
# Eyes closed on stable surface (EC).
# Eyes closed on unstable surface (ECUS).
# Eyes closed on stable surface with dual task (ECDT).
# Eyes closed on unstable surface with dual task (ECUSDT).
3) FDA_2023.ipynb is a Google Colab file, then you can import it to check the code.
4) fda_2023.py is the Python code, you can check it.
5) Some csv files inside "Files" folder are used only for graphing data.