Sleep Staging

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

4 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 46 papers with code (116 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
  24 Oct 2019 5 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
  We propose U-Time, a fully feed-forward deep learning approach to physiological time series segmentation developed for the analysis of sleep data.
• Structure-Preserving Transformers for Sequences of SPD Matrices
  14 Sep 2023 2 repositories listed
  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…
• Uncovering the structure of clinical EEG signals with self-supervised learning
  31 Jul 2020 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Our results suggest that SSL may pave the way to a wider use of deep learning models on EEG data.
• Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging
  31 Oct 2019 2 repositories listed Syntology ran 3 of 22 samples · 19 unverified
  We developed a framework to compare automated approaches to a consensus of multiple human scorers.
• Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG
  25 Nov 2018 2 repositories listed
  We present the first real-time sleep staging system that uses deep learning without the need for servers in a smartphone application for a wearable EEG.
• SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
  28 Sep 2018 2 repositories listed
  At the sequence processing level, a recurrent layer placed on top of the learned epoch-wise features for long-term modelling of sequential epochs.
• eegFloss: A Python package for refining sleep EEG recordings using machine learning models
  8 Jul 2025 1 repository listed
  By addressing a fundamental challenge faced by most sleep studies, eegFloss can enhance the precision and rigor of their analysis as well as the accuracy and reliability of their outcomes.
• SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models
  10 Jun 2025 1 repository listed
  Despite advances in deep learning for automatic sleep staging, clinical adoption remains limited due to challenges in fair model evaluation, generalization across diverse datasets, model bias, and variability in human…
• From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis
  8 May 2025 1 repository listed
  Automation of sleep analysis, including both macrostructural (sleep stages) and microstructural (e.
• Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models
  27 Jan 2025 1 repository listed
  Large language models (LLMs) exhibit remarkable capabilities in visual inspection of medical time-series data, achieving proficiency comparable to human clinicians.
• Sleep Staging from Airflow Signals Using Fourier Approximations of Persistence Curves
  12 Nov 2024 1 repository listed
  Sleep staging is a challenging task, typically manually performed by sleep technologists based on electroencephalogram and other biosignals of patients taken during overnight sleep studies.
• ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging
  21 Aug 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  The ST module converts raw signals into a spatial-temporal graph based on signal similarity, temporal, and spatial relationships to model spatial-temporal coupling patterns.
• Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health
  5 Jul 2024 1 repository listed
  Traditional sleep staging categorizes sleep and wakefulness into five coarse-grained classes, overlooking subtle variations within each stage.
• An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNet
  27 Jun 2024 1 repository listed
  2) Constructure an efficient lightweight sleep staging model named DetectsleepNet-tiny based on DetectsleepNet, which has just 6% of the parameter numbers of existing models, but its accuracy exceeds 99% of…
• Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
  13 Jun 2024 1 repository listed
  The progression of deep learning and the widespread adoption of sensors have facilitated automatic multi-view fusion (MVF) about the cardiovascular system (CVS) signals.
• Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
  13 Mar 2024 1 repository listed
  Analyzing electroencephalographic (EEG) time series can be challenging, especially with deep neural networks, due to the large variability among human subjects and often small datasets.
• Generalizable Sleep Staging via Multi-Level Domain Alignment
  13 Dec 2023 1 repository listed
  In this paper, we introduce domain generalization into automatic sleep staging and propose the task of generalizable sleep staging which aims to improve the model generalization ability to unseen datasets.
• Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
  6 Dec 2023 1 repository listed
  We conducted a comprehensive empirical study to demonstrate the superiority of DREAM, including sleep stage prediction experiments, a case study, the usage of unlabeled data, and uncertainty.
• S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
  10 Oct 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Scoring sleep stages in polysomnography recordings is a time-consuming task plagued by significant inter-rater variability.
• Contrastive Learning for Sleep Staging based on Inter Subject Correlation
  5 May 2023 1 repository listed
  In recent years, multitudes of researches have applied deep learning to automatic sleep stage classification.
• L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging
  9 Jan 2023 1 repository listed
  In this work, we show that while encoding the logic of a whole sleep cycle is crucial to improve sleep staging performance, the sequential modelling approach in existing state-of-the-art deep learning models are…
• Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
  21 Nov 2022 1 repository listed Syntology ran 3 of 12 samples · 9 unverified
  Multivariate biosignals are prevalent in many medical domains, such as electroencephalography, polysomnography, and electrocardiography.
• EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation
  18 Nov 2022 1 repository listed
  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.
• A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data
  27 Oct 2022 1 repository listed
  Sleep plays a crucial role in the well-being of human lives.
• Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
  15 Aug 2022 1 repository listed
  Here, we propose a cross-modal transformer, which is a transformer-based method for sleep stage classification.
• Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
  15 Jul 2022 1 repository listed
  We show that, for the sleep stage scoring task, the expressiveness of an engineered feature vector is on par with the internally learned representations of deep learning models.
• mulEEG: A Multi-View Representation Learning on EEG Signals
  7 Apr 2022 1 repository listed
  Our method attempts to effectively utilize the complementary information available in multiple views to learn better representations.
• TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging
  22 Mar 2022 1 repository listed
  Based on our overall results, we believe that TransSleep has immense potential to provide new insights into deep learning-based sleep staging.
• A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging
  14 Dec 2021 1 repository listed
  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.
• Deep Efficient Continuous Manifold Learning for Time Series Modeling
  3 Dec 2021 1 repository listed
  Modeling non-Euclidean data is drawing extensive attention along with the unprecedented successes of deep neural networks in diverse fields.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.