Continuous Atrial Fibrillation Monitoring From Photoplethysmography: Comparison Between Supervised Deep Learning and Heuristic Signal Processing.

Journal: JACC. Clinical electrophysiology
PMID:

Abstract

BACKGROUND: Continuous monitoring for atrial fibrillation (AF) using photoplethysmography (PPG) from smartwatches or other wearables is challenging due to periods of poor signal quality during motion or suboptimal wearing. As a result, many consumer wearables sample infrequently and only analyze when the user is at rest, which limits the ability to perform continuous monitoring or to quantify AF.

Authors

  • Pavel Antiperovitch
    Department of Medicine, Division of Cardiology, London Health Sciences Centre, Western University, London, Ontario, Canada. Electronic address: pavel.antiperovitch@lhsc.on.ca.
  • David Mortara
    Division of Cardiology, Department of Medicine and Cardiovascular Research Institute, University of California-San Francisco, San Francisco, California, USA.
  • Joshua Barrios
    Division of Cardiology, University of California-San Francisco, San Francisco, California, USA.
  • Robert Avram
    Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, Montreal, QC H1T 1C8, Canada. Electronic address: robert.avram.md@gmail.com.
  • Kimberly Yee
    Division of Cardiology, Department of Medicine and Cardiovascular Research Institute, University of California-San Francisco, San Francisco, California, USA.
  • Armeen Namjou Khaless
    Division of Cardiology, Department of Medicine and Cardiovascular Research Institute, University of California-San Francisco, San Francisco, California, USA.
  • Ashley Cristal
    Division of Cardiology, Department of Medicine and Cardiovascular Research Institute, University of California-San Francisco, San Francisco, California, USA.
  • Geoffrey Tison
    Division of Cardiology, University of California-San Francisco, San Francisco, California, USA.
  • Jeffrey Olgin
    Division of Cardiology, Department of Medicine and Cardiovascular Research Institute, University of California-San Francisco, San Francisco, California, USA. Electronic address: jeffrey.olgin@ucsf.edu.