mkfzdmr/COVID-19-ECG-Classification
This repository contains the source codes of the article published to detect changes in ECG caused by COVID-19 and automatically diagnose COVID-19 from ECG data.
This project helps healthcare professionals automatically detect potential COVID-19 cases by analyzing electrocardiogram (ECG) data. It takes raw 12-lead ECG readings and transforms them into visual maps, then uses these maps to classify whether COVID-19 related changes are present. The ideal end-user is a medical doctor or clinician looking for a supplementary tool for early diagnosis.
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Use this if you need an automated system to help diagnose COVID-19 based on ECG patterns, especially as a rapid screening or supplementary tool.
Not ideal if you need a primary diagnostic method or if you lack access to 12-lead ECG data.
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Language
MATLAB
License
MIT
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Last pushed
Aug 27, 2025
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