This paper is in the following e-collection/theme issue:

Usability of Apps and User Perceptions of mHealth (993) Fitness Trackers and Smart Pedometers/Accelerometers (571) Wearable Devices and Sensors (903) Insomnia and Sleep Hygiene (177) Sleep Monitoring, Sleep Quality, Sleep Disorders (191) Kids' and Adolescents' Use of Technology (97)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20590, first published .
Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study

Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study

Feasibility and Acceptability of Wearable Sleep Electroencephalogram Device Use in Adolescents: Observational Study

Authors of this article:

Jessica R Lunsford-Avery1 Author Orcid Image ;   Casey Keller1 Author Orcid Image ;   Scott H Kollins1 Author Orcid Image ;   Andrew D Krystal2 Author Orcid Image ;   Leah Jackson1 Author Orcid Image ;   Matthew M Engelhard1 Author Orcid Image
Article Authors Cited by (12) Tweetations (12) Metrics

Journals

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  2. Wallace M, Coleman T, Mentch L, Buysse D, Graves J, Hagen E, Hall M, Stone K, Redline S, Peppard P. Physiological sleep measures predict time to 15‐year mortality in community adults: Application of a novel machine learning framework. Journal of Sleep Research 2021;30(6) View
  3. Lunsford-Avery J, Wang K, Kollins S, Chung R, Keller C, Engelhard M. Regularity and Timing of Sleep Patterns and Behavioral Health Among Adolescents. Journal of Developmental & Behavioral Pediatrics 2022;43(4):188 View
  4. Kotzen K, Charlton P, Salabi S, Amar L, Landesberg A, Behar J. SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography. IEEE Journal of Biomedical and Health Informatics 2023;27(2):924 View
  5. Lunsford-Avery J, Kollins S, Kansagra S, Wang K, Engelhard M. Impact of daily caffeine intake and timing on electroencephalogram-measured sleep in adolescents. Journal of Clinical Sleep Medicine 2022;18(3):877 View
  6. Zambelli Z, Jakobsson C, Threadgold L, Fidalgo A, Halstead E, Dimitriou D. Exploring the feasibility and acceptability of a sleep wearable headband among a community sample of chronic pain individuals: An at-home observational study. DIGITAL HEALTH 2022;8:205520762210975 View
  7. Sugden R, Pham-Kim-Nghiem-Phu V, Campbell I, Leon A, Diamandis P. Remote collection of electrophysiological data with brain wearables: opportunities and challenges. Bioelectronic Medicine 2023;9(1) View
  8. Miyata S, Iwamoto K, Okada I, Fujimoto A, Kogo Y, Mori D, Amano M, Matsuyama N, Nishida K, Ando M, Taoka T, Naganawa S, Ozaki N. Assessing the Real-World, Long-Term Impact of Lemborexant on Sleep Quality in a Home-Based Clinical Study. Nature and Science of Sleep 2024;Volume 16:291 View
  9. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  10. de Gans C, Burger P, van den Ende E, Hermanides J, Nanayakkara P, Gemke R, Rutters F, Stenvers D. Sleep assessment using EEG-based wearables – A systematic review. Sleep Medicine Reviews 2024;76:101951 View
  11. van Bohemen S, Rogers J, Alavanja A, Evans A, Young N, Boughton P, Valderrama J, Kyme A. Safety, feasibility, and acceptability of a novel device to monitor ischaemic stroke patients. Journal of Medical Engineering & Technology 2024;48(5):173 View
  12. Tandon A, Cobb B, Centra J, Izmailova E, Manyakov N, McClenahan S, Patel S, Sezgin E, Vairavan S, Vrijens B, Bakker J. Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review. Journal of Medical Internet Research 2024;26:e57628 View