We compared performance in deriving sleep variables by both Fitbit Charge 2™, which
couples body movement (accelerometry) and heart rate variability (HRV) in combination with …

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 …

Goal and aims Compare the accuracy and reliability of sleep/wake classification between
the Fitbit Charge 3 and the Micro Motionlogger actigraph when applying either the Cole …

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 …

Purpose Although polysomnography is necessary for diagnosis of most sleep disorders, it is
also expensive, time-consuming, intrusive, and interferes with sleep. Field-based activity …

To evaluate the criterion validity of an automated sleep detection algorithm applied to data
from three research‐grade accelerometers worn on each wrist with concurrent laboratory …

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 …

Purpose Physical activity (PA) and sleep are important to health; thus, it is important for
researchers to have valid tools to measure them. Accelerometers have been proven valid for …

Introduction THIM is a new wearable device worn on the finger that can passively monitor
sleep and wakefulness overnight using actigraphy. This article showcases the development …

Purpose The commercial market is saturated with technologies that claim to collect
proficient, free-living sleep measurements despite a severe lack of independent third-party …