[HTML][HTML] Sleep measurement using wrist-worn accelerometer data compared with polysomnography

JD Chase, MA Busa, JW Staudenmayer, JR Sirard - Sensors, 2022 - mdpi.com
This study determined if using alternative sleep onset (SO) definitions impacted
accelerometer-derived sleep estimates compared with polysomnography (PSG). Nineteen …

Validation of an automated sleep detection algorithm using data from multiple accelerometer brands

T Plekhanova, AV Rowlands, MJ Davies… - Journal of Sleep …, 2023 - Wiley Online Library
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 …

[HTML][HTML] A validation study of a commercial wearable device to automatically detect and estimate sleep

DJ Miller, GD Roach, M Lastella, AT Scanlan… - Biosensors, 2021 - mdpi.com
The aims of this study were to:(1) compare actigraphy (ACTICAL) and a commercially
available sleep wearable (ie, WHOOP) under two functionalities (ie, sleep auto-detection …

[HTML][HTML] Validation of Zulu watch against polysomnography and actigraphy for on-wrist sleep-wake determination and sleep-depth estimation

JK Devine, ED Chinoy, RR Markwald, LP Schwartz… - Sensors, 2020 - mdpi.com
Traditional measures of sleep or commercial wearables may not be ideal for use in
operational environments. The Zulu watch is a commercial sleep-tracking device designed …

Improving sleep quality assessment using wearable sensors by including information from postural/sleep position changes and body acceleration: a comparison of …

J Razjouyan, H Lee, S Parthasarathy… - Journal of Clinical …, 2017 - jcsm.aasm.org
Study Objectives: To improve sleep quality assessment using a single chest-worn sensor by
extracting body acceleration and sleep position changes. Methods: Sleep patterns of 21 …

Validation of contact-free sleep monitoring device with comparison to polysomnography

A Tal, Z Shinar, D Shaki, S Codish… - Journal of Clinical Sleep …, 2017 - jcsm.aasm.org
Study Objectives: To validate a contact-free system designed to achieve maximal comfort
during long-term sleep monitoring, together with high monitoring accuracy. Methods: We …

[HTML][HTML] Estimating sleep parameters using an accelerometer without sleep diary

VT Van Hees, S Sabia, SE Jones, AR Wood… - Scientific reports, 2018 - nature.com
Wrist worn raw-data accelerometers are used increasingly in large-scale population
research. We examined whether sleep parameters can be estimated from these data in the …

Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography

DM Roberts, MM Schade, GM Mathew, D Gartenberg… - Sleep, 2020 - academic.oup.com
Abstract Study Objectives Multisensor wearable consumer devices allowing the collection of
multiple data sources, such as heart rate and motion, for the evaluation of sleep in the home …

0068 estimation of sleep stages using cardiac and accelerometer data from a wrist-worn device

Z Beattie, A Pantelopoulos, A Ghoreyshi, Y Oyang… - sleep, 2017 - search.proquest.com
Methods: Movement and cardiac data was collected from 60 adult subjects (36 M: 24 F, ages
34±10 yrs) wearing two wrist worn devices (left and right hand) containing a 3D …

Comparison of sleep parameters from wrist-worn ActiGraph and Actiwatch devices

F Liu, J Schrack, SK Wanigatunga, JA Rabinowitz, L He… - Sleep, 2024 - academic.oup.com
Sleep and physical activity, two important health behaviors, are often studied independently
using different accelerometer types and body locations. Understanding whether …