Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy.

Journal: Cardiovascular digital health journal
Published Date: Oct 13, 2021

Abstract

BACKGROUND: Patients with an implantable cardioverter-defibrillator (ICD) are at a high risk of malignant ventricular arrhythmias. The use of remote ICD monitoring, wearable devices, and patient-reported outcomes generate large volumes of potential valuable data. Artificial intelligence-based methods can be used to develop personalized prediction models and improve early-warning systems.

Authors

  • Diana M Frodi
    Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
  • Maarten Z H Kolk
    Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Joss Langford
    Activinsights Ltd., Kimbolton, United Kingdom.
  • Tariq O Andersen
    Vital Beats, Copenhagen, Denmark.
  • Reinoud E Knops
    Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Hanno L Tan
    Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Jesper H Svendsen
    Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
  • Fleur V Y Tjong
    Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Soeren Z Diederichsen
    Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals