Sleep assessment using EEG-based wearables–A systematic review

CJ de Gans, P Burger, ES Van den Ende… - Sleep Medicine …, 2024 - Elsevier
Polysomnography (PSG) is the reference standard of sleep measurement, but is
burdensome for the participant and labor intensive. Affordable electroencephalography …

A Systematic Review and Meta-Analysis on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence

TU Wara, AH Fahad, AS Das, MMH Shawon - arXiv preprint arXiv …, 2024 - arxiv.org
Sleep is vital for people's physical and mental health, and sound sleep can help them focus
on daily activities. Therefore, a sleep study that includes sleep patterns and disorders is …

SleepEEGpy: a Python-based package for the preprocessing, analysis, and visualization of sleep EEG data

G Belonosov, R Falach, FJ Schmidig, M Aderka… - bioRxiv, 2023 - biorxiv.org
Sleep research uses electroencephalography (EEG) to infer brain activity in health and
disease. Beyond standard sleep scoring, there is increased interest in advanced EEG …

Data-Efficient Sleep Staging with Synthetic Time Series Pretraining

N Grieger, S Mehrkanoon, S Bialonski - arXiv preprint arXiv:2403.08592, 2024 - arxiv.org
Analyzing electroencephalographic (EEG) time series can be challenging, especially with
deep neural networks, due to the large variability among human subjects and often small …

Looking for clues in the hypnogram–the human eye and the machine

DA Pevernagie, ES Arnardottir - Sleep, 2024 - academic.oup.com
All-night electroencephalography (EEG) was introduced in the 1960's to study the
physiological characteristics of sleep. While different states of sleep could be discerned from …

Accurate and Interpretable Deep Learning Model for Sleep Staging in Children with Sleep Apnea from Pulse Oximetry

F Vaquerizo-Villar, D Álvarez… - European Medical and …, 2024 - Springer
Identification of sleep stages is crucial in the diagnosis of sleep-related disorders but relies
on the labor-intensive and manual scoring of overnight polysomnography (PSG) recordings …

Evaluation of a Contactless Accelerometer Sensor System for Heart Rate Monitoring During Sleep

A Boiko, M Gaiduk, NM Madrid, R Seepold - International Conference on …, 2023 - Springer
The monitoring of a patient's heart rate (HR) is critical in the diagnosis of diseases. In the
detection of sleep disorders, it also plays an important role. Several techniques have been …

PRETRAINING SLEEP STAGING MODELS WITHOUT PA-TIENT DATA

N Grieger, S Mehrkanoon, S Bialonski - openreview.net
Analyzing electroencephalographic (EEG) time series can be challenging, especially with
deep neural networks, due to the large variability among human subjects and often small …