Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images.

Journal: Computer methods and programs in biomedicine
Published Date: Mar 6, 2024

Abstract

BACKGROUND AND OBJECTIVE: Heart failure (HF) is a multi-faceted and life-threatening syndrome that affects more than 64.3 million people worldwide. Current gold-standard screening technique, echocardiography, neglects cardiovascular information regulated by the circadian rhythm and does not incorporate knowledge from patient profiles. In this study, we propose a novel multi-parameter approach to assess heart failure using heart rate variability (HRV) and patient clinical information.

Authors

  • Mohanad Alkhodari
    Cardiovascular Clinical Research Facility, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
  • Ahsan H Khandoker
    Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
  • Herbert F Jelinek
  • Angelos Karlas
    Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany; Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany; Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.
  • Stergios Soulaidopoulos
    4 Department of Internal Medicine, Hippokration General Hospital, Medical School Aristotle University of Thessaloniki, Greece.
  • Petros Arsenos
    First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
  • Ioannis Doundoulakis
    First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
  • Konstantinos A Gatzoulis
    First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
  • Konstantinos Tsioufis
    First Cardiology Department, School of Medicine, "Hippokration" General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
  • Leontios J Hadjileontiadis
    Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece.

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