The electrocardiogram endeavour: from the Holter single-lead recordings to multilead wearable devices supported by computational machine learning algorithms.

Journal: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
Published Date:

Abstract

This review aims to provide a comprehensive recapitulation of the evolution in the field of cardiac rhythm monitoring, shedding light in recent progress made in multilead ECG systems and wearable devices, with emphasis on the promising role of the artificial intelligence and computational techniques in the detection of cardiac abnormalities.

Authors

  • Panos Vardas
    Heart Sector, Hygeia Hospitals Group, Athens, Greece.
  • Martin Cowie
    Imperial College London, London, UK.
  • Nikolaos Dagres
    German Heart Center of the Charité-University Medicine Berlin, Augustenburger Pl. 1, Berlin, 13353, Germany.
  • Dimitrios Asvestas
    Cardiology Department, Mitera General Hospital, Hygeia Group, Athens, Greece.
  • Stylianos Tzeis
    Cardiology Department, Mitera General Hospital, Hygeia Group, Athens, Greece.
  • Emmanuel P Vardas
    251 Airforce General Hospital, Athens, Greece.
  • Gerhard Hindricks
    Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Strümpellstr. 39, 04289 Leipzig, Germany.
  • John Camm
    St. George's University of London, London, UK.