ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification

ZiyuJia's personal homepage

A list of papers for sleep stages classification using machine learning/deep learning.

A list of papers for physiological signal classification using machine learning/deep learning.

MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.

SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

A list of experts in the field of the brain-computer interface and biological signal processing in China

A list of papers for motor imagery using machine learning/deep learning.

A list of papers for emotion recognition using machine learning/deep learning.

GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification

Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.

We realize many simulation system models to create coupled time series.

Partial conditional mutual information from mixed embedding for coupling estimation in multivariate time series. We also use transfer entropy to realize this method.