Designing wearable systems for sleep detection and staging is extremely challenging due to
the numerous constraints associated with sensing, usability, accuracy, and regulatory …

The accurate estimation of sleep onset is required for many purposes, including the
administration of a behavioural treatment for insomnia called Intensive Sleep Retraining …

Objective To validate automatic sleep stage classification using deep neural networks on
sleep assessed by radar technology in the commercially available sleep assistant …

Sleep disturbance is identified as a prominent concern in cancer patients with detrimental
effect on health outcome, which accompanies a decline in functional status, reduces quality …

Objectives: Our count-scaled algorithm automatically scores sleep across 24 hours to
process sleep timing, quantity, and quality. The aim of this study was to validate the …

Scope Zinc is an essential mineral that plays an important role in the body. We previously
reported that orally feeding zinc‐enriched yeast to mice induces nonrapid‐eye‐movement …

Aims This study determined the relationship between intra-individual variability in day-to-day
nutrition-related lifestyle behaviors (meal timing, eating window, food intake, movement …

Introduction: Sleep assessment devices are essential for the detection, diagnosis, and
monitoring of sleep disorders. This paper provides a state-of-the-art review and comparison …

Study objectives Sleep debt (SD) has been suggested to evoke emotional instability by
diminishing the suppression of the amygdala by the medial prefrontal cortex (MPFC). Here …

Objective To evaluate the accuracy of actigraphy against polysomnography (PSG) as gold
standard using a newly developed algorithm for sleep/wake discrimination that explicitly …