Articles with "sleep stage" as a keyword



Changes in the cortical network during sleep stage transitions

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Published in 2022 at "Journal of Neuroscience Research"

DOI: 10.1002/jnr.25125

Abstract: Sleep state transitions are closely related to insomnia, drowsiness, and sleep maintenance. However, how the cortical network varies during such a transition process remains unclear. Changes in the cortical interaction during the short‐term process of… read more here.

Keywords: stage transitions; sleep stage; stage; cortical network ... See more keywords
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Convolutional neural networks for sleep stage scoring on a two-channel EEG signal

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Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-019-04174-1

Abstract: Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the polysomnogram, which is a collection of different signals recorded during… read more here.

Keywords: sleep stage; neural networks; scoring two; convolutional neural ... See more keywords

Automatic sleep stage classification using deep learning: signals, data representation, and neural networks

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Published in 2024 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-024-10926-9

Abstract: In clinical practice, sleep stage classification (SSC) is a crucial step for physicians in sleep assessment and sleep disorder diagnosis. However, traditional sleep stage classification relies on manual work by sleep experts, which is time-consuming… read more here.

Keywords: deep learning; data representation; sleep stage; stage classification ... 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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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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Dynamic sleep stage transition process analysis in patients with Parkinson's disease having sleep apnea syndrome

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Published in 2021 at "Informatics in Medicine Unlocked"

DOI: 10.1016/j.imu.2021.100656

Abstract: Abstract Early detection of non-motor symptoms, such as sleep disorder, is recommended for those with Parkinson's disease (PD). It is important to understand the sleep patterns of patients with PD having concomitant sleep apnea syndrome… read more here.

Keywords: sleep stage; transition; patients sas; patients concomitant ... See more keywords

Association of neurocognitive functioning with sleep stage dissociation and REM sleep instability in medicated patients with schizophrenia.

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Published in 2021 at "Journal of psychiatric research"

DOI: 10.1016/j.jpsychires.2021.02.004

Abstract: Many patients with schizophrenia present with impaired cognitive functioning and sleep disturbances. Dissociated stages of sleep represent instability within distinct sleep regulatory cerebral networks. Previous studies found increased rates of rapid eye movement (REM) sleep… read more here.

Keywords: functioning; stage dissociation; rem sleep; sleep stage ... See more keywords

Sleep-stage dependence and co-existence of cardio-respiratory coordination and phase synchronization.

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Published in 2024 at "Chaos"

DOI: 10.1063/5.0177552

Abstract: Interactions between the cardiac and respiratory systems play a pivotal role in physiological functioning. Nonetheless, the intricacies of cardio-respiratory couplings, such as cardio-respiratory phase synchronization (CRPS) and cardio-respiratory coordination (CRC), remain elusive, and an automated… read more here.

Keywords: respiratory coordination; phase synchronization; sleep stage; cardio respiratory ... 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

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

MRASleepNet: a multi-resolution attention network for sleep stage classification using single-channel EEG

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Published in 2022 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/aca2de

Abstract: Objective. Computerized classification of sleep stages based on single-lead electroencephalography (EEG) signals is important, but still challenging. In this paper, we proposed a deep neural network called MRASleepNet for automatic sleep stage classification using single-channel… read more here.

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

Explainable multiscale temporal convolutional neural network model for sleep stage detection based on electroencephalogram activities

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Published in 2025 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/adb90c

Abstract: Objective. Humans spend a significant portion of their lives in sleep (an essential driver of body metabolism). Moreover, as sleep deprivation could cause various health complications, it is crucial to develop an automatic sleep stage… read more here.

Keywords: multiscale temporal; model; sleep stage; stage detection ... See more keywords