Literature DB >> 32005346

Sensors Capabilities, Performance, and Use of Consumer Sleep Technology.

Massimiliano de Zambotti1, Nicola Cellini2, Luca Menghini3, Michela Sarlo4, Fiona C Baker5.   

Abstract

Sleep is crucial for the proper functioning of bodily systems and for cognitive and emotional processing. Evidence indicates that sleep is vital for health, well-being, mood, and performance. Consumer sleep technologies (CSTs), such as multisensory wearable devices, have brought attention to sleep and there is growing interest in using CSTs in research and clinical applications. This article reviews how CSTs can process information about sleep, physiology, and environment. The growing number of sensors in wearable devices and the meaning of the data collected are reviewed. CSTs have the potential to provide opportunities to measure sleep and sleep-related physiology on a large scale.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Consumer sleep technology; Health; Performance; Sensors; Wearables

Mesh:

Year:  2020        PMID: 32005346      PMCID: PMC7482551          DOI: 10.1016/j.jsmc.2019.11.003

Source DB:  PubMed          Journal:  Sleep Med Clin        ISSN: 1556-407X


  157 in total

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Review 2.  The role of sleep in cognition and emotion.

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Review 3.  Heart rate monitors: state of the art.

Authors:  R M Laukkanen; P K Virtanen
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4.  Ability of the Fitbit Alta HR to quantify and classify sleep in patients with suspected central disorders of hypersomnolence: A comparison against polysomnography.

Authors:  Jesse D Cook; Sahand C Eftekari; Erika Dallmann; Megan Sippy; David T Plante
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Review 5.  Wearables and the medical revolution.

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Journal:  Per Med       Date:  2018-09-27       Impact factor: 2.512

Review 6.  Measuring Light at Night and Melatonin Levels in Shift Workers: A Review of the Literature.

Authors:  Claudia M Hunter; Mariana G Figueiro
Journal:  Biol Res Nurs       Date:  2017-07       Impact factor: 2.522

7.  Wireless Wearable Multisensory Suite and Real-Time Prediction of Obstructive Sleep Apnea Episodes.

Authors:  Trung Q Le; Changqing Cheng; Akkarapol Sangasoongsong; Woranat Wongdhamma; Satish T S Bukkapatnam
Journal:  IEEE J Transl Eng Health Med       Date:  2013-07-18       Impact factor: 3.316

8.  Exploring the Association Between Self-Reported Asthma Impact and Fitbit-Derived Sleep Quality and Physical Activity Measures in Adolescents.

Authors:  Jiang Bian; Yi Guo; Mengjun Xie; Alice E Parish; Isaac Wardlaw; Rita Brown; François Modave; Dong Zheng; Tamara T Perry
Journal:  JMIR Mhealth Uhealth       Date:  2017-07-25       Impact factor: 4.773

Review 9.  Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research - Recommendations for Experiment Planning, Data Analysis, and Data Reporting.

Authors:  Sylvain Laborde; Emma Mosley; Julian F Thayer
Journal:  Front Psychol       Date:  2017-02-20

10.  Digital phenotyping by consumer wearables identifies sleep-associated markers of cardiovascular disease risk and biological aging.

Authors:  Jing Xian Teo; Sonia Davila; Chengxi Yang; An An Hii; Chee Jian Pua; Jonathan Yap; Swee Yaw Tan; Anders Sahlén; Calvin Woon-Loong Chin; Bin Tean Teh; Steven G Rozen; Stuart Alexander Cook; Khung Keong Yeo; Patrick Tan; Weng Khong Lim
Journal:  Commun Biol       Date:  2019-10-04
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  11 in total

1.  A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code.

Authors:  Luca Menghini; Nicola Cellini; Aimee Goldstone; Fiona C Baker; Massimiliano de Zambotti
Journal:  Sleep       Date:  2021-02-12       Impact factor: 5.849

2.  Evaluating consumer and clinical sleep technologies: an American Academy of Sleep Medicine update.

Authors:  Sharon Schutte-Rodin; Maryann C Deak; Seema Khosla; Cathy A Goldstein; Michael Yurcheshen; Ambrose Chiang; Dominic Gault; Joseph Kern; Daniel O'Hearn; Scott Ryals; Nitun Verma; Douglas B Kirsch; Kelly Baron; Steven Holfinger; Jennifer Miller; Ruchir Patel; Sumit Bhargava; Kannan Ramar
Journal:  J Clin Sleep Med       Date:  2021-11-01       Impact factor: 4.062

3.  Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls.

Authors:  Luca Menghini; Dilara Yuksel; Aimee Goldstone; Fiona C Baker; Massimiliano de Zambotti
Journal:  Chronobiol Int       Date:  2021-04-01       Impact factor: 3.749

4.  Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children.

Authors:  Job G Godino; David Wing; Massimiliano de Zambotti; Fiona C Baker; Kara Bagot; Sarah Inkelis; Carina Pautz; Michael Higgins; Jeanne Nichols; Ty Brumback; Guillaume Chevance; Ian M Colrain; Kevin Patrick; Susan F Tapert
Journal:  PLoS One       Date:  2020-09-04       Impact factor: 3.240

5.  Performance of Four Commercial Wearable Sleep-Tracking Devices Tested Under Unrestricted Conditions at Home in Healthy Young Adults.

Authors:  Evan D Chinoy; Joseph A Cuellar; Jason T Jameson; Rachel R Markwald
Journal:  Nat Sci Sleep       Date:  2022-03-22

6.  The Ava bracelet for collection of fertility and pregnancy data in free-living conditions: An exploratory validity and acceptability study.

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Journal:  Digit Health       Date:  2022-03-11

7.  Tracking Sleep, Temperature, Heart Rate, and Daily Symptoms Across the Menstrual Cycle with the Oura Ring in Healthy Women.

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Journal:  Int J Womens Health       Date:  2022-04-08

8.  Multi-Night at-Home Evaluation of Improved Sleep Detection and Classification with a Memory-Enhanced Consumer Sleep Tracker.

Authors:  Shohreh Ghorbani; Hosein Aghayan Golkashani; Nicholas I Y N Chee; Teck Boon Teo; Andrew Roshan Dicom; Gizem Yilmaz; Ruth L F Leong; Ju Lynn Ong; Michael W L Chee
Journal:  Nat Sci Sleep       Date:  2022-04-14

9.  Evaluations of Commercial Sleep Technologies for Objective Monitoring During Routine Sleeping Conditions.

Authors:  Jason D Stone; Lauren E Rentz; Jillian Forsey; Jad Ramadan; Rachel R Markwald; Victor S Finomore; Scott M Galster; Ali Rezai; Joshua A Hagen
Journal:  Nat Sci Sleep       Date:  2020-10-27

10.  Trait-like nocturnal sleep behavior identified by combining wearable, phone-use, and self-report data.

Authors:  Stijn A A Massar; Xin Yu Chua; Chun Siong Soon; Alyssa S C Ng; Ju Lynn Ong; Nicholas I Y N Chee; Tih Shih Lee; Arko Ghosh; Michael W L Chee
Journal:  NPJ Digit Med       Date:  2021-06-02
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