ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction.

Journal: IEEE transactions on bio-medical engineering
Published Date: May 26, 2025

Abstract

OBJECTIVE: In this paper we develop and evaluate ECG-SMART-NET for occlusion myocardial infarction (OMI) identification. OMI is a severe form of heart attack characterized by complete blockage of one or more coronary arteries requiring immediate referral for cardiac catheterization to restore blood flow to the heart. Two thirds of OMI cases are difficult to visually identify from a 12-lead electrocardiogram (ECG) and can be potentially fatal if not identified quickly. Previous works on this topic are scarce, and current state-of-the-art evidence suggests both feature-based random forests and convolutional neural networks (CNNs) are promising approaches to improve ECG detection of OMI.

Authors

  • Nathan T Riek
    Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
  • Murat Akcakaya
    Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA, akcakaya@pitt.edu,tugcebusraiu@gmail.com.
  • Zeineb Bouzid
    Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
  • Tanmay Gokhale
  • Stephanie Helman
    Department of Acute and Tertiary Care Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Karina Kraevsky-Philips
    Department of Acute and Tertiary Care Nursing, University of Pittsburgh, Pittsburgh, PA, USA; University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
  • Rui Qi Ji
  • Ervin Sejdić
    Department of Electrical and Computer Engineering, University of Pittsburgh, Benedum Hall, Pittsburgh, PA 15260, USA. Electronic address: esejdic@ieee.org.
  • Jessica K Zègre-Hemsey
    School of Nursing, University of North Carolina at Chapel Hill.
  • Christian Martin-Gill
    Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Clifton W Callaway
    Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA; University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
  • Samir Saba
    Division of Cardiology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Salah Al-Zaiti
    Department of Acute & Tertiary Care Nursing, University of Pittsburgh, Pittsburgh, PA, USA. ssa33@pitt.edu.

Keywords

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