# EEG-depression-recognition-GTSAN

**Repository Path**: halfskywalker/EEG-depression-recognition-GTSAN

## Basic Information

- **Project Name**: EEG-depression-recognition-GTSAN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-07-18
- **Last Updated**: 2024-07-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# EEG-depression-recognition-GTSAN

This is the core code of the reference: L.J. Yang, Y.X. Wang, X. R. Zhu, X.H. Yang, C. Zheng, A Gated Temporal-Separable Attention Network for EEG-Based Depression
Recognition. Computers in Biology and Medicine. 2023.

The code scripts are written in Python.

# Requirements
Language: Python 3.7


# Descriptions of the main code files
/GTSAN.py. The main code of the GTSAN model that extracts the features and classification from the EEG signals.

# Supplement
psdfeature.mat is the input data of the GTSAN model.