Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification [PDF]
IEEE Access, 2022 Sleep EEG signals analysis is an approach that helps researchers identify and understand the different phenomena concealed within sleep EEG data. This research introduces a time-frequency analysis approach to untangle the parameters of the sleep stages ...
Ignacio A. Zapata, Yan Li, Peng Wen
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Scale-free and oscillatory spectral measures of sleep stages in humans [PDF]
Frontiers in Neuroinformatics, 2022 Power spectra of sleep electroencephalograms (EEG) comprise two main components: a decaying power-law corresponding to the aperiodic neural background activity, and spectral peaks present due to neural oscillations.
Bence Schneider +10 more
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Statistical Complexity Analysis of Sleep Stages [PDF]
EntropyStudying sleep stages is crucial for understanding sleep architecture, which can help identify various health conditions, including insomnia, sleep apnea, and neurodegenerative diseases, allowing for better diagnosis and treatment interventions.
Cristina D. Duarte +5 more
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Entropy, 2014 Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concern is to find a correlation between several physiologic variables and sleep stages.
Jose Luis Rodríguez-Sotelo +5 more
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Improved non-invasive detection of sleep stages when combining skin sympathetic nerve activity and heart rate variability analysis with AI [PDF]
Scientific ReportsSleep is a cyclic physiological process that goes into different stages, and every stage has its’ importance in the construction or recovery of physiological function. Sleep scoring is performed from polysomnography recordings which requires signals from
Md. Aktaruzzaman, Thomas H. Everett
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Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages [PDF]
Sensors, 2022 Iqram Hussain +2 more
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Validation Study of a Contactless Monitoring Device for Vital Signs During Sleep and Sleep Architecture in Adults With Sleep-Disordered Breathing [PDF]
Sleep Medicine Research, 2021 Background and Objective Few clinical studies have investigated the accuracy of non-contact monitoring devices for vital signs during sleep and sleep architecture in adults with sleep-disordered breathing (SDB).
Young Jeong Lee +6 more
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Sleep CLIP: A Multimodal Sleep Staging Model Based on Sleep Signals and Sleep Staging Labels
Sensors, 2023 Since the release of the contrastive language-image pre-training (CLIP) model designed by the OpenAI team, it has been applied in several fields owing to its high accuracy. Sleep staging is an important method of diagnosing sleep disorders, and the completion of sleep staging tasks with high accuracy has always remained the main goal of sleep staging ...
Weijia Yang +3 more
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Estimating Sleep Stages Using a Head Acceleration Sensor
Sensors, 2021 Sleep disruption from causes, such as changes in lifestyle, stress from aging, family issues, or life pressures are a growing phenomenon that can lead to serious health problems. As such, sleep disorders need to be identified and addressed early on.
Motoki Yoshihi +4 more
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REM Sleep Stage Identification with Raw Single-Channel EEG
Bioengineering, 2023 This paper focused on creating an interpretable model for automatic rapid eye movement (REM) and non-REM sleep stage scoring for a single-channel electroencephalogram (EEG).
Gabriel Toban, Khem Poudel, Don Hong
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