Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology.

Journal: JMIR mHealth and uHealth
Published Date: Jul 31, 2020

Abstract

BACKGROUND: There has been a recent increased interest in monitoring health using wearable sensor technologies; however, few have focused on breathing. The ability to monitor breathing metrics may have indications both for general health as well as respiratory conditions such as asthma, where long-term monitoring of lung function has shown promising utility.

Authors

  • Joseph Prinable
    School of Electrical and Information Engineering, The University of Sydney, Darlington, Australia.
  • Peter Jones
    School of Electrical and Information Engineering, The University of Sydney, Darlington, Australia.
  • David Boland
    School of Electrical and Information Engineering, The University of Sydney, Darlington, Australia.
  • Cindy Thamrin
    Woolcock Institute of Medical Research.
  • Alistair McEwan
    School of Electrical and Information Engineering, The University of Sydney, Darlington, Australia.

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