Skip to content

Latest commit

 

History

History
22 lines (16 loc) · 856 Bytes

README.md

File metadata and controls

22 lines (16 loc) · 856 Bytes

Depression Detetection based on EEG

This is a the first part of my Bachelor thesis : Depression detection based on brain activity and vocal prosody. On the following link you can find a short video regarding the problematics and the applied workflow: https://www.youtube.com/watch?v=Qf0FVOBucvE&t=3s

This system is made for 22 EEG electrodes in 10-20 positioning standard. The system curently works only with .edf files.

Clone the repository to a local directory

$ git clone https://github.com/JanevaD/eegdepressiondetection

Run

depressiondetection.py

In .edf examples file you can find examples of eeg signals in .edf format. Test the system as shown in the video.

Reference

D. Janeva, S. Markovska-Simoska, B. Gerazov. "A system for automatic detection of major depressive disorder based on brain activity", ETAI, 2021.