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 evaluated the performance of Fitbit Charge 3™(FC3), a multi-sensor commercial sleep-
tracker, for measuring sleep in adolescents against gold-standard laboratory …

We evaluated the performance of a consumer multi-sensory wristband (Fitbit Charge 2™),
against polysomnography (PSG) in measuring sleep/wake state and sleep stage …

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 …

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 …

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

Objective To examine agreement between multiple commercial activity monitors (CAMs) and
a validated actigraph to measure sleep. Methods Thirty adults without sleep disorders wore …

Background Multisensor fitness trackers offer the ability to longitudinally estimate sleep
quality in a home environment with the potential to outperform traditional actigraphy. To …

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 …

Demonstrating inter-device reliability is essential to use devices interchangeably, and
accurately integrate, interpret, or compare data from different actigraphs. Despite this, there …