Articles with "automatic sleep" as a keyword



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Automatic sleep stage classification with reduced epoch of EEG

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

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

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

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

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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
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STDP-based adaptive graph convolutional networks for automatic sleep staging

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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
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Deep Learning in Automatic Sleep Staging With a Single Channel Electroencephalography

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Published in 2021 at "Frontiers in Physiology"

DOI: 10.3389/fphys.2021.628502

Abstract: This study centers on automatic sleep staging with a single channel electroencephalography (EEG), with some significant findings for sleep staging. In this study, we proposed a deep learning-based network by integrating attention mechanism and bidirectional… read more here.

Keywords: network; sleep staging; single channel; sleep ... See more keywords
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Intelligent automatic sleep staging model based on CNN and LSTM

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Published in 2022 at "Frontiers in Public Health"

DOI: 10.3389/fpubh.2022.946833

Abstract: Since electroencephalogram (EEG) is a significant basis to treat and diagnose somnipathy, sleep electroencephalogram automatic staging methods play important role in the treatment and diagnosis of sleep disorders. Due to the characteristics of weak signals,… read more here.

Keywords: cnn lstm; deep learning; model; method ... See more keywords
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Automatic Sleep Staging Based on Single-Channel EEG Signal Using Null Space Pursuit Decomposition Algorithm

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Published in 2022 at "Axioms"

DOI: 10.3390/axioms12010030

Abstract: Sleep quality is related to people’s physical and mental health, so an accurate assessment of sleep quality is key to recognizing sleep disorders and taking effective interventions. To address the shortcomings of traditional manual and… read more here.

Keywords: sleep staging; single channel; eeg signal; automatic sleep ... See more keywords