High Precision Digitization of Paper-Based ECG Records: A Step Toward Machine Learning.

Journal: IEEE journal of translational engineering in health and medicine
Published Date: Nov 7, 2019

Abstract

INTRODUCTION: The electrocardiogram (ECG) plays an important role in the diagnosis of heart diseases. However, most patterns of diseases are based on old datasets and stepwise algorithms that provide limited accuracy. Improving diagnostic accuracy of the ECG can be done by applying machine learning algorithms. This requires taking existing scanned or printed ECGs of old cohorts and transforming the ECG signal to the raw digital (time (milliseconds), voltage (millivolts)) form.

Authors

  • Mohammed Baydoun
    1Beirut Research and Innovation CenterBeirut2052 6703Lebanon.
  • Lise Safatly
    2Electrical and Computer Engineering DepartmentAmerican University of BeirutBeirutLebanon.
  • Ossama K Abou Hassan
    3Internal Medicine DepartmentAmerican University of BeirutBeirutLebanon.
  • Hassan Ghaziri
    1Beirut Research and Innovation CenterBeirut2052 6703Lebanon.
  • Ali El Hajj
    2Electrical and Computer Engineering DepartmentAmerican University of BeirutBeirutLebanon.
  • Hussain Isma'eel
    3Internal Medicine DepartmentAmerican University of BeirutBeirutLebanon.

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