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An Inter-Device Accuracy Comparison of Consumer Sleep Trackers

[+] Author Affiliations
Erik A. Zavrel

Cornell University, Ithaca, NY

Ana C. Krieger

Weill Cornell Medicine, New York, NY

Paper No. DMD2019-3205, pp. V001T09A001; 7 pages
doi:10.1115/DMD2019-3205
From:
  • 2019 Design of Medical Devices Conference
  • 2019 Design of Medical Devices Conference
  • Minneapolis, Minnesota, USA, April 15–18, 2019
  • ISBN: 978-0-7918-4103-7
  • Copyright © 2019 by ASME

abstract

The ability to investigate sleep is of scientific and clinical interest. Polysomnography (PSG) has long been considered the gold standard assessment for sleep physiology; however, its cost and inconvenience have spurred the development of consumer devices capable of evaluating sleep outside the laboratory. The development of dedicated consumer sleep monitoring devices, e.g., the Zeo Personal Sleep Manager, smart bands, e.g., the Microsoft Band 2 (MB2), and activity trackers, e.g., the Fitbit Charge 2 (FC2), with the ability to automatically distinguish between sleep and wakefulness has important implications for sleep research and medicine.1–3

Copyright © 2019 by ASME
Topics: Sleep

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