ziyujia/Signal-feature-extraction_DE-and-PSD

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Created over 4 years ago
Updated over 4 years ago

ziyujia/Signal-feature-extraction_DE-and-PSD

ziyujia

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

Physiological-Signal-Classification-Papers

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

SST-EmotionNet

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

GraphSleepNet

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

Sleep-Stages-Classification-Papers

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

Motor-Imagery-Papers

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

MSTGCN

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

Emotion-Recognition-Papers

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

SalientSleepNet

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

HetEmotionNet

Chinese-Reading-Materials

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

ECML-PKDD_MMCNN

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

PMIME-and-TE

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

ATTA

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

Simulation-System-Model

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

ziyujia.github.io

ZiyuJia's personal homepage