E2fNet - A Robust Neural Network for EEG-to-fMRI Synthesis

EEG Signal Cleaning Pipeline Management (EEGLAB-based)

Research on human fatigue state analysis induced by gaming based on multimodal data fusion (EEG, EMG, etc.).基于多模态生理信号融合的电子游戏诱发疲劳状态分析

The EEG Classification Model project involves developing a machine learning model to classify brainwave patterns from EEG signals for applications like health monitoring and neurological disorder detection. It focuses on signal processing, feature extraction, and model training using various algorithms.

EEG signal analysis and motor imagery classification for left/right hand movement prediction in BCI applications.

This project aims to classify different sleep states from EEG signal recordings through the use of machine and deep learning models.

EEG signal processing and classification for detecting sleep spindles and classifying motor imagery tasks using Python.