Wearable sleep-tracking technology is of growing use in the sleep and circadian fields,
including for applications across other disciplines, inclusive of a variety of disease states …

Background Wearable technology is a leading fitness trend in the growing commercial
industry and an established method for collecting 24-hour physical behavior data in …

Background: Using machine learning to combine wrist accelerometer (ACM) and
electrodermal activity (EDA) has been shown effective to detect primarily and secondarily …

There has been growing interest in using wearable physiological monitors to passively
detect the signals of distress (ie, increases in autonomic arousal measured through …

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 …

Context Sleep duration and sleep quality have important health implications although our
knowledge of objectively measured sleep variables in women with Polycystic Ovary …

The knowledge of the distribution of sleep and wake over a 24-h day is essential for a
comprehensive image of sleep-wake rhythms. Current sleep-wake scoring algorithms for …

Goal and aims Commonly used actigraphy algorithms are designed to operate within a
known in-bed interval. However, in free-living scenarios this interval is often unknown. We …

Objectives Chronotype impacts our state at a given time of day, however, chronotype is also
heritable, trait-like, and varies systematically as a function of age and sex. However, only a …

Background Individuals nowadays are fond of using handheld technology in their daily lives.
Thus, people often resort to using wearable trackers to self-monitor their physical activities …