Sleep is an important indicator of a person's health, and its accurate and cost-effective
quantification is of great value in healthcare. The gold standard for sleep assessment and …

Automatic sleep stage classification is vital for evaluating the quality of sleep.
Conventionally, sleep is monitored using multiple physiological sensors that are …

Advances in camera-based physiological monitoring have enabled the robust non-contact
measurement of respiration and the cardiac pulse which are known to be indicative of the …

Sleep is crucial for physical and mental health, but traditional sleep quality assessment
methods have limitations. This scoping review analyzes 35 articles from the past decade …

The purpose of the present work is to examine, on a clinically diverse population of older
adults (N= 46) sleeping at home, the performance of two actigraphy-based sleep tracking …

We developed a real-time sleep stage classification system with a convolutional neural
network using only a one-channel electro-encephalogram source from mice and universally …

The spontaneous dynamics of the brain modulate its function from moment to moment,
shaping neural computation and cognition. Functional MRI (fMRI), while classically used as …

Screening and Evaluation of Sleep Disturbances and Sleep Disorders in Children and
Adolescents - Child and Adolescent Psychiatric Clinics Skip to Main Content Advertisement …

Study Objectives: Although wrist-worn consumer wearables are widely used for home sleep
monitoring, few have been validated. It is unclear whether consumer wearables could be an …

Purpose Previous studies have found that many commercial wearable devices can
accurately track sleep-wake patterns in laboratory or home settings. However, nearly all …