Goal and aims Evaluate the performance of a sleep scoring algorithm applied to raw
accelerometry data collected from research-grade and consumer wearable actigraphy …

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 …

Study Objectives: To compare sleep parameters produced by the Fitbit Charge 3 (Fitbit) and
Actigraph GT9X accelerometer (Actigraph) to polysomnography in children and adolescents …

Study Objectives: To compare the quality and consistency in sleep measurement of a
consumer wearable device and a research-grade actigraph with polysomnography (PSG) in …

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 Actigraphy is often used to measure sleep in pediatric populations, despite little
confirmatory evidence of the accuracy of existing sleep/wake algorithms. The aim of this …

We examined the comparability of children's nocturnal sleep estimates using accelerometry
data, processed with and without a sleep log. In a secondary analysis, we evaluated factors …

Objective In field settings, wrist-and waist-worn accelerometers are typically used to assess
sleep characteristics and movement behaviors, respectively. There has been a shift in …

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 …

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 …