We have previously developed an ambulatory electrode set (AES) for the measurement of
electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG) …

Reliable, automated, and user-friendly solutions for the identification of sleep stages in
home environment are needed in various clinical and scientific research settings. Previously …

Quantification of sleep is important for the diagnosis of sleep disorders and sleep research.
However, the only widely accepted method to obtain sleep staging is by visual analysis of …

Sleep disturbances are common in Alzheimer's disease and other neurodegenerative
disorders, and together represent a potential therapeutic target for disease modification. A …

Purpose Sleep is an important human activity. Comfortable sensing and accurate analysis in
sleep monitoring is beneficial to many healthcare and medical applications. From 2020 …

Objective Manual sleep staging on overnight polysomnography (PSG) is time-consuming
and laborious. This study aims to develop an end-to-end automatic sleep staging method in …

Purpose Portable sleep monitoring devices with less-attached sensors and high-accuracy
sleep staging methods can expedite sleep disorder diagnosis. The aim of this study was to …

Objective: Advances in sensor miniaturization and computational power have served as
enabling technologies for monitoring human physiological conditions in real-world …

Abstract Study Objectives Develop a high-performing, automated sleep scoring algorithm
that can be applied to long-term scalp electroencephalography (EEG) recordings. Methods …

Introduction Sleep is vital to human health, and sleep staging is an essential process in
sleep assessment. However, manual classification is an inefficient task. Along with the …