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   Articles with "automatic sleep" as a keyword



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Automatic sleep stage classification with reduced epoch of EEG

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recommendations! Published in 2021 at "Evolutionary Intelligence"

DOI: 10.1007/s12065-021-00632-8

Abstract: In the recent years analysis of Electroencephalogram (EEG) signal has played vital role in automatic sleep scoring technique. Classification of sleep stages help in understanding sleep related issues. Manual analysis of sleep scoring is costly,… read more here.

Keywords: technique; classification; sleep; sleep scoring ... See more keywords

Investigating the use of uni-directional and bi-directional long short-term memory models for automatic sleep stage scoring

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recommendations! Published in 2020 at "Informatics in Medicine Unlocked"

DOI: 10.1016/j.imu.2020.100370

Abstract: Abstract In this paper, a study is conducted to investigate the use of a Long Short-Term Memory (LSTM) learning system in automatic sleep stage scoring. The developed algorithm will automatically learn to classify sleep stages… read more here.

Keywords: medicine; sleep stage; performance; automatic sleep ... See more keywords
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Automatic sleep-stage scoring based on photoplethysmographic signals.

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recommendations! Published in 2020 at "Physiological measurement"

DOI: 10.1088/1361-6579/ab921d

Abstract: OBJECTIVE Sleep-stage scoring is important for sleep-quality evaluation and the diagnosis of related diseases. In this study, an automatic sleep-stage scoring method using photoplethysmographic (PPG) signals was proposed. APPROACH To construct the classification model, we… read more here.

Keywords: sleep stage; sleep quality; automatic sleep; stage ... See more keywords

Automatic sleep stage classification based on a two-channel electrooculogram and one-channel electromyogram

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recommendations! Published in 2022 at "Physiological Measurement"

DOI: 10.1088/1361-6579/ac6bdb

Abstract: Objective. Sleep monitoring by polysomnography (PSG) severely degrades sleep quality. In order to reduce the load of sleep monitoring, an approach to automatic sleep stage classification without an electroencephalogram (EEG) was proposed. Approach. A total… read more here.

Keywords: stage classification; sleep stage; automatic sleep; sleep ... See more keywords

Automatic Sleep Scoring Using Intrinsic Mode Based on Interpretable Deep Neural Networks

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3163250

Abstract: Sleep experts manually label sleep stages via polysomnography (PSG) to diagnose sleep disorders. However, this process is time-consuming, requires a lot of labor from sleep experts, and makes the participants uncomfortable with the attachment of… read more here.

Keywords: sleep; intrinsic mode; model; sleep scoring ... See more keywords

NeuroSleepNet: An Explainable Multi-Head Attention-Based Framework with Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3640231

Abstract: Automatic sleep stage scoring is crucial for monitoring sleep quality and sleep-related disorders. However, most existing electroencephalogram (EEG) based deep learning frameworks rely on current and previous input sequences (varying from 4–100 epochs), which increases… read more here.

Keywords: automatic sleep; multi; sleep stage; stage scoring ... See more keywords

ESSN: An Efficient Sleep Sequence Network for Automatic Sleep Staging

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recommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3443340

Abstract: By modeling the temporal dependencies of sleep sequence, advanced automatic sleep staging algorithms have achieved satisfactory performance, approaching the level of medical technicians and laying the foundation for clinical assistance. However, existing algorithms cannot adapt… read more here.

Keywords: automatic sleep; efficient sleep; sleep sequence; sleep staging ... See more keywords

SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model With Improved N1 Sleep Detection

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recommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2025.3572886

Abstract: Automatic sleep staging from single-channel electroencephalography (EEG) using artificial intelligence (AI) is emerging as an alternative to costly and time-consuming manual scoring using multi-channel polysomnography. However, current AI methods, mainly deep learning models such as… read more here.

Keywords: ssc sleepnet; automatic sleep; loss; sleep staging ... See more keywords

Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging From EEG Signals

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recommendations! Published in 2025 at "IEEE Transactions on Biomedical Engineering"

DOI: 10.1109/tbme.2025.3561228

Abstract: Deep learning-based methods for automatic sleep staging offer an efficient and objective alternative to costly manual scoring. However, their reliance on extensive labeled datasets and the challenge of generalization to new subjects and datasets limit… read more here.

Keywords: view; self supervised; supervised learning; automatic sleep ... See more keywords

A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging

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recommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2023.3238852

Abstract: Sleep staging is a vital process for evaluating sleep quality and diagnosing sleep-related diseases. Most of the existing automatic sleep staging methods focus on time-domain information and often ignore the transformation relationship between sleep stages.… read more here.

Keywords: sleep staging; temporal spectral; model; automatic sleep ... See more keywords

STDP-based adaptive graph convolutional networks for automatic sleep staging

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recommendations! Published in 2023 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2023.1158246

Abstract: Automatic sleep staging is important for improving diagnosis and treatment, and machine learning with neuroscience explainability of sleep staging is shown to be a suitable method to solve this problem. In this paper, an explainable… read more here.

Keywords: sleep staging; graph convolutional; adaptive graph; automatic sleep ... See more keywords