EEG based sleep staging
7 papers with code • 0 benchmarks • 0 datasets
Sleep staging from only EEG signal
Benchmarks
These leaderboards are used to track progress in EEG based sleep staging
Libraries
Use these libraries to find EEG based sleep staging models and implementationsMost implemented papers
Uncovering the structure of clinical EEG signals with self-supervised learning
zacharycbrown/ssl_baselines_for_biosignal_feature_extraction
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Our results suggest that SSL may pave the way to a wider use of deep learning models on EEG data.
Structure-Preserving Transformers for Sequences of SPD Matrices
mathieuseraphim/spdtransnet
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In recent years, Transformer-based auto-attention mechanisms have been successfully applied to the analysis of a variety of context-reliant data types, from texts to images and beyond, including data from non-Euclidean geometries.
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training
Second, we design an iterative self-training strategy to improve the classification performance on the target domain via target domain pseudo labels.
Self-supervised Contrastive Learning for EEG-based Sleep Staging
In detail, the network's performance depends on the choice of transformations and the amount of unlabeled data used in the training process of self-supervised learning.
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging
acrophase/sleep_staging_kd
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This demonstrates the viability of KD for performance improvement of single-channel ECG based sleep staging in 4-class(W-L-D-R) and 3-class(W-N-R) classification.
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data
Mithunjha/EarEEG_KnowledgeDistillation
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Sleep plays a crucial role in the well-being of human lives.
EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation
acrophase/sleep_staging_kd
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IEEE 2022
In order to take advantage of both the modalities, transferring knowledge from EEG to ECG is a reasonable approach, ultimately boosting the performance of ECG based sleep staging.
