This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Graph Neural Network

U fiber analysis: a toolbox for automated quantification of U-fibers and white matter hyperintensities

EEG Experiments in Python

BrainSleepNet: Learning Multivariate EEG Representation for Automatic Sleep Staging

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

Two-Stream Squeeze-and-Excitation Network for Multi-modal Sleep Staging

Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging

SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging

Reading list for research topics in multimodal machine learning

A list of all public EEG-datasets

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

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

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

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

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

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

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

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

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

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

Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge

Code to reproduce results reported in the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Acc…

Bayesian Deep Learning: A Survey