Background Estimation of sleep parameters by wrist actigraphy is highly dependent on
performance of the interpretative algorithm (IA) that converts movement data into sleep/wake …

Background: Performance of wrist actigraphy in assessing sleep not only depends on the
sensor technology of the actigraph hardware but also on the attributes of the interpretative …

We compared performance of four popular interpretative algorithms (IAs), ie, Cole–Kripke,
Rescored Cole–Kripke, Sadeh, and UCSD, utilized to derive sleep parameters from wrist …

Sleep scoring is the first step for diagnosing sleep disorders. A variety of chronic diseases
related to sleep disorders could be identified using sleep-state estimation. This paper …

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 …

Background Wearable sleep monitors are of high interest to consumers and researchers
because of their ability to provide estimation of sleep patterns in free-living conditions in a …

For the last 40 years, actigraphy or wearable accelerometry has provided an objective, low-
burden and ecologically valid approach to assess real-world sleep and circadian patterns …

Background Differentiating nonwear time from sleep and wake times is essential for the
estimation of sleep duration based on actigraphy data. To efficiently analyze large-scale …

Study Objectives: Total sleep time (TST), sleep efficiency (SE), sleep latency (SOL) and
wake after sleep onset (WASO) assessed by actigraphy gathered in 3 different modes were …

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 …