Background Data augmentation (DA) has recently been demonstrated to achieve
considerable performance gains for deep learning (DL)—increased accuracy and stability …

Background: Insomnia remains one of the most common sleep disorders encountered in the
geriatric clinic population, frequently characterized by the subjective complaint of difficulty …

Sleep plays a vital role in brain function and systemic physiology across many body
systems. Problems with sleep are widely prevalent and include deficits in quantity and …

Objective. Supervised learning paradigms are often limited by the amount of labeled data
that is available. This phenomenon is particularly problematic in clinically-relevant data …

Polysomnography (PSG) studies of sleep changes in Alzheimer's disease (AD) have
reported but not fully established the relationship between sleep disturbances and AD. To …

Unobtrusive home sleep monitoring using wrist-worn wearable photoplethysmography
(PPG) could open the way for better sleep disorder screening and health monitoring …

Background Existing normal polysomnography values are not truly normative as they are
based on small sample sizes due to the fact that polysomnography is expensive and …

Normal human sleep comprises two states—rapid eye movement (REM) and non–REM
(NREM) sleep—that alternate cyclically across a sleep episode. State characteristics are …

Computer-aided sleep staging based on single channel electroencephalogram (EEG) is a
prerequisite for a feasible low-power wearable sleep monitoring system. It can also …

Study Objectives: The program provides a unique opportunity to compare a large number of
scorers with varied levels of experience to determine sleep stage scoring agreement. The …