Raw photoplethysmogram waveforms versus peak-to-peak intervals for machine learning detection of atrial fibrillation: Does waveform matter?

Journal: Computer methods and programs in biomedicine
PMID: 39644781

Abstract

BACKGROUND: Machine learning-based analysis can accurately detect atrial fibrillation (AF) from photoplethysmograms (PPGs), however the computational requirements for analyzing raw PPG waveforms can be significant. The analysis of PPG-derived peak-to-peak intervals may offer a more feasible solution for smartphone deployment, provided the diagnostic utility is comparable.

Authors

  • Jonas L Isaksen
    University of Copenhagen, 2200, Copenhagen N, Denmark.
  • Bolette Arildsen
    Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Denmark.
  • Cathrine Lind
    Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Denmark.
  • Malene Nørregaard
    Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Denmark.
  • Kevin Vernooy
    Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center (MUMC+), Maastricht, the Netherlands.
  • Ulrich Schotten
    Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands.
  • Thomas Jespersen
    Laboratory of Cardiac Physiology, Department of Biomedical Sciences, University of Copenhagen, Denmark.
  • Konstanze Betz
    Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands; Department of Internal Medicine, Eifelklinik St. Brigida GmbH & CO KG., Simmerath, Germany.
  • Astrid N L Hermans
    Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.
  • Jørgen K Kanters
    University of Copenhagen, 2200, Copenhagen N, Denmark.
  • Dominik Linz
    Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark. dominik.linz@gmx.de.

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