Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: Signal delineation of a standard 12-lead electrocardiogram (ECG) is a decisive step for retrieving complete information and extracting signal characteristics for each lead in cardiology clinical practice. However, it is arduous to manually assess the leads, as a variety of signal morphological variations in each lead have potential defects in recording, noise, or irregular heart rhythm/beat.

Authors

  • Annisa Darmawahyuni
    Intelligent System Research Group, Universitas Sriwijaya, Palembang, Indonesia.
  • Siti Nurmaini
    Intelligent System Research Group, Universitas Sriwijaya, Palembang, Indonesia.
  • Muhammad Naufal Rachmatullah
    Intelligent System Research Group, Universitas Sriwijaya, Palembang, Indonesia.
  • Prazna Paramitha Avi
    Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, 30139, Indonesia.
  • Samuel Benedict Putra Teguh
    Intelligent System Research Group, Faculty of Computer Science, Universitas Sriwijaya, Palembang, 30139, Indonesia.
  • Ade Iriani Sapitri
    Intelligent System Research Group, Universitas Sriwijaya, Palembang, Indonesia.
  • Bambang Tutuko
    Intelligent System Research Group, Universitas Sriwijaya, Palembang, Indonesia.
  • Firdaus Firdaus
    Intelligent System Research Group, Universitas Sriwijaya, Palembang, Indonesia.