Comparison of multichannel and single-channel wrist-based devices with polysomnography to measure sleep in children and adolescents

S Burkart, MW Beets, B Armstrong, ET Hunt… - Journal of Clinical …, 2021 - jcsm.aasm.org
Study Objectives: To compare sleep parameters produced by the Fitbit Charge 3 (Fitbit) and
Actigraph GT9X accelerometer (Actigraph) to polysomnography in children and adolescents …

Validation of Fitbit Inspire 2TM Against Polysomnography in Adults Considering Adaptation for Use

SE Lim, HS Kim, SW Lee, KH Bae… - Nature and Science of …, 2023 - Taylor & Francis
Purpose The commercialization of sleep activity tracking devices has made it possible to
manage sleep quality at home. However, it is necessary to verify the reliability and accuracy …

[HTML][HTML] Accuracy of wristband Fitbit models in assessing sleep: systematic review and meta-analysis

S Haghayegh, S Khoshnevis, MH Smolensky… - Journal of medical …, 2019 - jmir.org
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 …

Validation of a consumer sleep wearable device with actigraphy and polysomnography in adolescents across sleep opportunity manipulations

XK Lee, NIYN Chee, JL Ong, TB Teo… - Journal of Clinical …, 2019 - jcsm.aasm.org
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 …

[HTML][HTML] Validation of Fitbit Charge 4 for assessing sleep in Chinese patients with chronic insomnia: A comparison against polysomnography and actigraphy

X Dong, S Yang, Y Guo, P Lv, M Wang, Y Li - Plos one, 2022 - journals.plos.org
Our research aims to assess the performance of a new generation of consumer activity
trackers (Fitbit Charge 4TM: FBC) to measure sleep variables and sleep stage classifications …

[HTML][HTML] Deep neural network sleep scoring using combined motion and heart rate variability data

S Haghayegh, S Khoshnevis, MH Smolensky, KR Diller… - Sensors, 2020 - mdpi.com
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 …

[HTML][HTML] Validation of minute-to-minute scoring for sleep and wake periods in a consumer wearable device compared to an actigraphy device

J Cheung, JM Zeitzer, H Lu, E Mignot - Sleep Science and Practice, 2018 - Springer
Background Actigraphs are widely used portable wrist-worn devices that record tri-axial
accelerometry data. These data can be used to approximate amount and timing of sleep and …

Validity of activity-based devices to estimate sleep

AR Weiss, NL Johnson, NA Berger… - Journal of Clinical Sleep …, 2010 - jcsm.aasm.org
Study Objectives: The aim of this study was to examine the feasibility of sleep estimation
using a device designed and marketed to measure core physical activity. Methods: Thirty …

Sleep monitoring with the Apple Watch: Comparison to a clinically validated actigraph

S Roomkham, M Hittle, J Cheung, D Lovell… - …, 2019 - eprints.qut.edu.au
Background: We investigate the feasibility of using an Apple Watch for sleep monitoring by
comparing its performance to the clinically validated Philips Actiwatch Spectrum Pro (the …

Validity of a novel algorithm to detect bedtime, wake time, and sleep time in adults

KR Leister, J Garay, TV Barreira - Journal for the …, 2022 - journals.humankinetics.com
Purpose: To determine accuracy of activPAL Technologies' CREA algorithm to assess
bedtime, wake time, and sleep time. Methods: As part of a larger study, 104 participants …