Robust deep learning pipeline for PVC beats localization.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:

Abstract

BACKGROUND: Premature ventricular contraction (PVC) is among the most frequently occurring types of arrhythmias. Existing approaches for automated PVC identification suffer from a range of disadvantages related to hand-crafted features and benchmarking on datasets with a tiny sample of PVC beats.

Authors

  • Bohdan Petryshak
    The Machine Learning Laboratory, Ukrainian Catholic University Lviv, Ukraine.
  • Illia Kachko
    The Machine Learning Laboratory, Ukrainian Catholic University Lviv, Ukraine.
  • Mykola Maksymenko
    SoftServe Inc., Austin, TX, USA.
  • Oles Dobosevych
    The Machine Learning Laboratory, Ukrainian Catholic University Lviv, Ukraine.