Sleep characterization with smart wearable devices: A call for standardization and consensus recommendations

Mathias Baumert*, Martin R Cowie, Susan Redline, Reena Mehra, Michael Arzt, Jean-Louis Pépin, Dominik Linz

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

The general public increasingly adopts smart wearable devices to quantify sleep characteristics and dedicated devices for sleep assessment. The rapid evolution of technology has outpaced the ability to implement validation approaches and demonstrate relevant clinical applicability. There are untapped opportunities to validate and refine consumer devices in partnership with scientists in academic institutions, patients, and the private sector to allow effective integration into clinical management pathways and facilitate trust in adoption once reliability and validity have been demonstrated. We call for the formation of a working group involving stakeholders from academia, clinical care and industry to develop clear professional recommendations to facilitate appropriate and optimized clinical utilization of such technologies.
Original languageEnglish
Article numberzsac183
Number of pages6
JournalSleep (Online)
Volume45
Issue number12
Early online date1 Aug 2022
DOIs
Publication statusPublished - 12 Dec 2022

Keywords

  • AMERICAN ACADEMY
  • APNEA
  • ARTIFICIAL-INTELLIGENCE
  • DIAGNOSTIC-ACCURACY
  • GUIDELINES
  • MEDICINE
  • MONITORS
  • POLYSOMNOGRAPHY
  • VARIABILITY
  • sleep
  • sleep apnea
  • wearables

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