Literature DB >> 31901524

A systematic review of the accuracy of sleep wearable devices for estimating sleep onset.

Hannah Scott1, Leon Lack2, Nicole Lovato3.   

Abstract

The accurate estimation of sleep onset is required for many purposes, including the administration of a behavioural treatment for insomnia called Intensive Sleep Retraining, facilitating power naps, and conducting objective daytime sleepiness tests. Specialised equipment and trained individuals are presently required to administer these applications in the laboratory: a costly and impractical procedure which limits their utility in practice. A wearable device could be used to administer these applications outside the laboratory, increasing accessibility. This systematic review aimed to identify practical wearable devices that accurately estimate sleep onset. The search strategy identified seventy-one articles which compared estimations of sleep onset latency from wearable devices against polysomnography (PSG). Actigraphy devices produced average estimations of sleep onset latency that were often not significantly different from PSG, but there was large inter-individual variability depending on participant characteristics. As expected, electroencephalography-based devices produced more accurate and less variable estimates. Devices that measured behavioural aspects of sleep onset consistently overestimated PSG-determined sleep onset latency, but to a comparatively low degree. This sleep measurement method could be deployed in a simple wearable device to accurately estimate sleep onset and administer Intensive Sleep Retraining, power naps, and objective daytime sleepiness tests outside the laboratory setting.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Actigraphy; Consumer sleep technology; Insomnia; Intensive sleep retraining; Polysomnography; Power naps; Sleep; Sleep onset; Systematic review; Wearable technology

Year:  2019        PMID: 31901524     DOI: 10.1016/j.smrv.2019.101227

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  20 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.  A validation study of a ballistocardiograph sleep tracker against polysomnography.

Authors:  Mahnoosh Kholghi; Irene Szollosi; Mitchell Hollamby; DanaKai Bradford; Qing Zhang
Journal:  J Clin Sleep Med       Date:  2022-04-01       Impact factor: 4.062

3.  Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans.

Authors:  Filip Mivalt; Vaclav Kremen; Vladimir Sladky; Irena Balzekas; Petr Nejedly; Nicholas M Gregg; Brian Nils Lundstrom; Kamila Lepkova; Tereza Pridalova; Benjamin H Brinkmann; Pavel Jurak; Jamie J Van Gompel; Kai Miller; Timothy Denison; Erik K St Louis; Gregory A Worrell
Journal:  J Neural Eng       Date:  2022-02-08       Impact factor: 5.043

4.  A randomized controlled study of weighted chain blankets for insomnia in psychiatric disorders.

Authors:  Bodil Ekholm; Stefan Spulber; Mats Adler
Journal:  J Clin Sleep Med       Date:  2020-09-15       Impact factor: 4.062

5.  Sleep-wake parameters can be detected in patients with chronic stroke using a multisensor accelerometer: a validation study.

Authors:  Elie Gottlieb; Leonid Churilov; Emilio Werden; Thomas Churchward; Matthew P Pase; Natalia Egorova; Mark E Howard; Amy Brodtmann
Journal:  J Clin Sleep Med       Date:  2021-02-01       Impact factor: 4.062

Review 6.  ENIGMA-Sleep: Challenges, opportunities, and the road map.

Authors:  Masoud Tahmasian; André Aleman; Ole A Andreassen; Zahra Arab; Marion Baillet; Francesco Benedetti; Tom Bresser; Joanna Bright; Michael W L Chee; Daphne Chylinski; Wei Cheng; Michele Deantoni; Martin Dresler; Simon B Eickhoff; Claudia R Eickhoff; Torbjørn Elvsåshagen; Jianfeng Feng; Jessica C Foster-Dingley; Habib Ganjgahi; Hans J Grabe; Nynke A Groenewold; Tiffany C Ho; Seung Bong Hong; Josselin Houenou; Benson Irungu; Neda Jahanshad; Habibolah Khazaie; Hosung Kim; Ekaterina Koshmanova; Desi Kocevska; Peter Kochunov; Oti Lakbila-Kamal; Jeanne Leerssen; Meng Li; Annemarie I Luik; Vincenzo Muto; Justinas Narbutas; Gustav Nilsonne; Victoria S O'Callaghan; Alexander Olsen; Ricardo S Osorio; Sara Poletti; Govinda Poudel; Joyce E Reesen; Liesbeth Reneman; Mathilde Reyt; Dieter Riemann; Ivana Rosenzweig; Masoumeh Rostampour; Amin Saberi; Julian Schiel; Christina Schmidt; Anouk Schrantee; Emma Sciberras; Tim J Silk; Kang Sim; Hanne Smevik; Jair C Soares; Kai Spiegelhalder; Dan J Stein; Puneet Talwar; Sandra Tamm; Giana L Teresi; Sofie L Valk; Eus Van Someren; Gilles Vandewalle; Maxime Van Egroo; Henry Völzke; Martin Walter; Rick Wassing; Frederik D Weber; Antoine Weihs; Lars Tjelta Westlye; Margaret J Wright; Mon-Ju Wu; Nathalia Zak; Mojtaba Zarei
Journal:  J Sleep Res       Date:  2021-04-28       Impact factor: 3.981

7.  The accuracy of the THIM wearable device for estimating sleep onset latency.

Authors:  Hannah Scott; Ashwin Whitelaw; Alex Canty; Nicole Lovato; Leon Lack
Journal:  J Clin Sleep Med       Date:  2021-05-01       Impact factor: 4.062

8.  Performance of seven consumer sleep-tracking devices compared with polysomnography.

Authors:  Evan D Chinoy; Joseph A Cuellar; Kirbie E Huwa; Jason T Jameson; Catherine H Watson; Sara C Bessman; Dale A Hirsch; Adam D Cooper; Sean P A Drummond; Rachel R Markwald
Journal:  Sleep       Date:  2021-05-14       Impact factor: 5.849

Review 9.  Current Advances in Wearable Devices and Their Sensors in Patients With Depression.

Authors:  Seunggyu Lee; Hyewon Kim; Mi Jin Park; Hong Jin Jeon
Journal:  Front Psychiatry       Date:  2021-06-17       Impact factor: 4.157

10.  The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring.

Authors:  Marco Altini; Hannu Kinnunen
Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

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