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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Sleep characterization with smart wearable devices : a call for standardization and consensus recommendations. / Baumert, Mathias; Cowie, Martin R.; Redline, Susan; Mehra, Reena; Arzt, Michael; Pepin, Jean-Louis; Linz, Dominik.

In: Sleep, Vol. 45, No. 12, zsac183, 2022.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Baumert, M, Cowie, MR, Redline, S, Mehra, R, Arzt, M, Pepin, J-L & Linz, D 2022, 'Sleep characterization with smart wearable devices: a call for standardization and consensus recommendations', Sleep, vol. 45, no. 12, zsac183. https://doi.org/10.1093/sleep/zsac183

APA

Baumert, M., Cowie, M. R., Redline, S., Mehra, R., Arzt, M., Pepin, J-L., & Linz, D. (2022). Sleep characterization with smart wearable devices: a call for standardization and consensus recommendations. Sleep, 45(12), [zsac183]. https://doi.org/10.1093/sleep/zsac183

Vancouver

Baumert M, Cowie MR, Redline S, Mehra R, Arzt M, Pepin J-L et al. Sleep characterization with smart wearable devices: a call for standardization and consensus recommendations. Sleep. 2022;45(12). zsac183. https://doi.org/10.1093/sleep/zsac183

Author

Baumert, Mathias ; Cowie, Martin R. ; Redline, Susan ; Mehra, Reena ; Arzt, Michael ; Pepin, Jean-Louis ; Linz, Dominik. / Sleep characterization with smart wearable devices : a call for standardization and consensus recommendations. In: Sleep. 2022 ; Vol. 45, No. 12.

Bibtex

@article{b4d2418c3f0f4ee69f378127e28e9ff9,
title = "Sleep characterization with smart wearable devices: a call for standardization and consensus recommendations",
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.",
keywords = "sleep, wearables, sleep apnea, ARTIFICIAL-INTELLIGENCE, DIAGNOSTIC-ACCURACY, AMERICAN ACADEMY, MONITORS, APNEA, POLYSOMNOGRAPHY, VARIABILITY, GUIDELINES, MEDICINE",
author = "Mathias Baumert and Cowie, {Martin R.} and Susan Redline and Reena Mehra and Michael Arzt and Jean-Louis Pepin and Dominik Linz",
year = "2022",
doi = "10.1093/sleep/zsac183",
language = "English",
volume = "45",
journal = "Sleep (Online)",
issn = "0161-8105",
publisher = "Oxford University Press",
number = "12",

}

RIS

TY - JOUR

T1 - Sleep characterization with smart wearable devices

T2 - a call for standardization and consensus recommendations

AU - Baumert, Mathias

AU - Cowie, Martin R.

AU - Redline, Susan

AU - Mehra, Reena

AU - Arzt, Michael

AU - Pepin, Jean-Louis

AU - Linz, Dominik

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - sleep

KW - wearables

KW - sleep apnea

KW - ARTIFICIAL-INTELLIGENCE

KW - DIAGNOSTIC-ACCURACY

KW - AMERICAN ACADEMY

KW - MONITORS

KW - APNEA

KW - POLYSOMNOGRAPHY

KW - VARIABILITY

KW - GUIDELINES

KW - MEDICINE

U2 - 10.1093/sleep/zsac183

DO - 10.1093/sleep/zsac183

M3 - Journal article

C2 - 35913733

VL - 45

JO - Sleep (Online)

JF - Sleep (Online)

SN - 0161-8105

IS - 12

M1 - zsac183

ER -

ID: 319364081