Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning.

Journal: BMC medical informatics and decision making
Published Date: May 25, 2021

Abstract

BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a pandemic since its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day and early diagnosis has become crucial. Since current diagnostic methods have many disadvantages, new investigations are needed to improve the performance of diagnosis.

Authors

  • Mehmet Akif Ozdemir
    Department of Biomedical Engineering, Izmir Katip Celebi University, Cigli 35620, Izmir, Turkey.
  • Gizem Dilara Ozdemir
    Department of Biomedical Engineering, Faculty of Enigneering and Architecture, Izmir Katip Celebi University, 35620, Cigli, Izmir, Turkey.
  • Onan Guren
    Department of Biomedical Engineering, Faculty of Enigneering and Architecture, Izmir Katip Celebi University, 35620, Cigli, Izmir, Turkey.

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