Sleep Stage Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

16 leaderboard tables shown for this task, 16 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 16 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

24 shown of 24 papers with code (34 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.

• DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
  12 Mar 2017 8 repositories listed Syntology ran 0 of 33 samples · 33 unverified
  This demonstrated that, without changing the model architecture and the training algorithm, our model could automatically learn features for sleep stage scoring from different raw single-channel EEGs from different…
• SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
  5 Mar 2019 3 repositories listed
  Electroencephalogram (EEG) is a common base signal used to monitor brain activity and diagnose sleep disorders.
• 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…
• 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.
• Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG
  18 Feb 2019 2 repositories listed
  A deep learning model, named IITNet, is proposed to learn intra- and inter-epoch temporal contexts from raw single-channel EEG for automatic sleep scoring.
• 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.
• An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave
  24 Sep 2014 2 repositories listed
  The WaveForm DataBase (WFDB) Toolbox for MATLAB/Octave enables integrated access to PhysioNet's software and databases.
• Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
  22 Feb 2025 1 repository listed
  In this paper, we propose Quasi Zigzag Persistent Homology (QZPH) as a framework for analyzing time-varying data by integrating multiparameter persistence and zigzag persistence.
• Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
  18 Feb 2025 1 repository listed
  This approach enables the model to learn highly expressive representations of PSG data.
• MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
  13 Feb 2025 1 repository listed
  Sleep profoundly affects our health, and sleep deficiency or disorders can cause physical and mental problems.
• HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis
  8 Nov 2024 1 repository listed
  The HeartBert model is introduced with three primary objectives: reducing the need for labeled data, minimizing computational resources, and simultaneously improving performance in machine learning systems that analyze…
• NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
  10 Apr 2024 1 repository listed
  The classification of sleep stages is a pivotal aspect of diagnosing sleep disorders and evaluating sleep quality.
• Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability
  7 Dec 2022 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  Unfortunately, there is high inter-subject variability in the SSL-learned representations, which makes working with this data more challenging when labeled data is scarce.
• SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
  20 Sep 2022 1 repository listed
  Conventionally, learning-based automatic sleep scoring on single-channel electroencephalogram (EEG) is actively studied because obtaining multi-channel signals during sleep is difficult.
• 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.
• 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.
• ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training
  9 Jul 2021 1 repository listed
  Second, we design an iterative self-training strategy to improve the classification performance on the target domain via target domain pseudo labels.
• An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG
  28 Apr 2021 1 repository listed
  The MRCNN can extract low and high frequency features and the AFR is able to improve the quality of the extracted features by modeling the inter-dependencies between the features.
• XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
  8 Jul 2020 1 repository listed
  This work proposes a sequence-to-sequence sleep staging model, XSleepNet, that is capable of learning a joint representation from both raw signals and time-frequency images.
• REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
  29 Jan 2020 1 repository listed
  By deploying these models to an Android application on a smartphone, we quantitatively observe that REST allows models to achieve up to 17x energy reduction and 9x faster inference.
• Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
  30 Jul 2019 1 repository listed
  We employ the Montreal Archive of Sleep Studies (MASS) database consisting of 200 subjects as the source domain and study deep transfer learning on three different target domains: the Sleep Cassette subset and the Sleep…
• Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
  16 May 2018 1 repository listed
  While the proposed framework is orthogonal to the widely adopted classification schemes, which take one or multiple epochs as contextual inputs and produce a single classification decision on the target epoch, we…

Syntology lines on 3 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.