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 …
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 …
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 …
disease. Beyond standard sleep scoring, there is increased interest in advanced EEG …
Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
Analyzing electroencephalographic (EEG) time series can be challenging, especially with
deep neural networks, due to the large variability among human subjects and often small …
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 …
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 …
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
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 …
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 …
deep neural networks, due to the large variability among human subjects and often small …