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Name: Kaleigh
Type: User
Name: Kaleigh
Type: User
[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
CCRRSleepNet: A Hybrid Relational Inductive Biases Network for Automatic Sleep Stage Classification on Raw Single-Channel EEG
Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)
[IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"
Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier transforms.
Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
Automated Sleep Stage Scoring using Deep Learing
U-Time: A Fully Convolutional Network for Time Series Segmentation
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