Literature DB >> 31641776

Wearable technologies for developing sleep and circadian biomarkers: a summary of workshop discussions.

Christopher M Depner1, Philip C Cheng2, Jaime K Devine3, Seema Khosla4, Massimiliano de Zambotti5, Rébecca Robillard6, Andrew Vakulin7,8, Sean P A Drummond9.   

Abstract

The "International Biomarkers Workshop on Wearables in Sleep and Circadian Science" was held at the 2018 SLEEP Meeting of the Associated Professional Sleep Societies. The workshop brought together experts in consumer sleep technologies and medical devices, sleep and circadian physiology, clinical translational research, and clinical practice. The goals of the workshop were: (1) characterize the term "wearable" for use in sleep and circadian science and identify relevant sleep and circadian metrics for wearables to measure; (2) assess the current use of wearables in sleep and circadian science; (3) identify current barriers for applying wearables to sleep and circadian science; and (4) identify goals and opportunities for wearables to advance sleep and circadian science. For the purposes of biomarker development in the sleep and circadian fields, the workshop included the terms "wearables," "nearables," and "ingestibles." Given the state of the current science and technology, the limited validation of wearable devices against gold standard measurements is the primary factor limiting large-scale use of wearable technologies for sleep and circadian research. As such, the workshop committee proposed a set of best practices for validation studies and guidelines regarding how to choose a wearable device for research and clinical use. To complement validation studies, the workshop committee recommends the development of a public data repository for wearable data. Finally, sleep and circadian scientists must actively engage in the development and use of wearable devices to maintain the rigor of scientific findings and public health messages based on wearable technology. © Sleep Research Society 2019. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

Entities:  

Keywords:  actigraphy; biomarker; circadian misalignment; insufficient sleep; polysomnography; short sleep; sleep disorders; sleep loss; sleep tracker; wearable

Mesh:

Substances:

Year:  2020        PMID: 31641776      PMCID: PMC7368340          DOI: 10.1093/sleep/zsz254

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  79 in total

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Journal:  J Sleep Res       Date:  2018-11-08       Impact factor: 3.981

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Journal:  Sleep       Date:  2014-01-01       Impact factor: 5.849

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Authors:  Marie-Pierre St-Onge; Michael A Grandner; Devin Brown; Molly B Conroy; Girardin Jean-Louis; Michael Coons; Deepak L Bhatt
Journal:  Circulation       Date:  2016-09-19       Impact factor: 29.690

5.  Home Circadian Phase Assessments with Measures of Compliance Yield Accurate Dim Light Melatonin Onsets.

Authors:  Helen J Burgess; James K Wyatt; Margaret Park; Louis F Fogg
Journal:  Sleep       Date:  2015-06-01       Impact factor: 5.849

6.  An activity-based sleep monitor system for ambulatory use.

Authors:  J B Webster; D F Kripke; S Messin; D J Mullaney; G Wyborney
Journal:  Sleep       Date:  1982       Impact factor: 5.849

7.  Movement toward a novel activity monitoring device.

Authors:  Hawley E Montgomery-Downs; Salvatore P Insana; Jonathan A Bond
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8.  Comparison of Commercial Wrist-Based and Smartphone Accelerometers, Actigraphy, and PSG in a Clinical Cohort of Children and Adolescents.

Authors:  Elicia Toon; Margot J Davey; Samantha L Hollis; Gillian M Nixon; Rosemary S C Horne; Sarah N Biggs
Journal:  J Clin Sleep Med       Date:  2016-03       Impact factor: 4.062

9.  Reliability of Sleep Measures from Four Personal Health Monitoring Devices Compared to Research-Based Actigraphy and Polysomnography.

Authors:  Janna Mantua; Nickolas Gravel; Rebecca M C Spencer
Journal:  Sensors (Basel)       Date:  2016-05-05       Impact factor: 3.576

10.  Identifying and validating blood mRNA biomarkers for acute and chronic insufficient sleep in humans: a machine learning approach.

Authors:  Emma E Laing; Carla S Möller-Levet; Derk-Jan Dijk; Simon N Archer
Journal:  Sleep       Date:  2019-01-01       Impact factor: 5.849

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  41 in total

Review 1.  Sensors Capabilities, Performance, and Use of Consumer Sleep Technology.

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Journal:  Sleep Med Clin       Date:  2020-01-03

2.  Individual differences in light sensitivity affect sleep and circadian rhythms.

Authors:  Sarah L Chellappa
Journal:  Sleep       Date:  2021-02-12       Impact factor: 5.849

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

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Journal:  Sleep       Date:  2021-02-12       Impact factor: 5.849

4.  Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study.

Authors:  Sarah Berryhill; Christopher J Morton; Adam Dean; Adam Berryhill; Natalie Provencio-Dean; Salma I Patel; Lauren Estep; Daniel Combs; Saif Mashaqi; Lynn B Gerald; Jerry A Krishnan; Sairam Parthasarathy
Journal:  J Clin Sleep Med       Date:  2020-02-11       Impact factor: 4.062

5.  Developing preliminary blood metabolomics-based biomarkers of insufficient sleep in humans.

Authors:  Christopher M Depner; Dasha T Cogswell; Paul J Bisesi; Rachel R Markwald; Charmion Cruickshank-Quinn; Kevin Quinn; Edward L Melanson; Nichole Reisdorph; Kenneth P Wright
Journal:  Sleep       Date:  2020-07-13       Impact factor: 5.849

6.  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

7.  Sleep-tracking technology in scientific research: looking to the future.

Authors:  Michael A Grandner; Matthew R Lujan; Sadia B Ghani
Journal:  Sleep       Date:  2021-05-14       Impact factor: 5.849

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

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

Authors:  Sarah Burkart; Michael W Beets; Bridget Armstrong; Ethan T Hunt; Roddrick Dugger; Lauren von Klinggraeff; Alexis Jones; David E Brown; R Glenn Weaver
Journal:  J Clin Sleep Med       Date:  2021-04-01       Impact factor: 4.062

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