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COVID-19-ECG-Classification

imported

software/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.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/mkfzdmr/COVID-19-ECG-Classification
Documentation
unknown
Tags
artificial-intelligence · convolutional-neural-networks · corona · coronavirus · covid · covid-19 · covid-19-data · covid19
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

  • covid19-severity-predictioncoronavirus · covid-19 · covid-19-data

    Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

  • covasimcoronavirus · covid · covid-19

    COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions

  • covid-19-self-assessmentcoronavirus · covid · covid-19

    The tool takes the public through a series of questions to inform those who are concerned they may have contracted COVID-19.

  • seirspluscoronavirus · covid · covid-19

    Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

sources
  1. api.github.com/repos/mkfzdmr/COVID-19-ECG-Classification
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-08-27, 23 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/18.json→ .entries["covid-19-ecg-classification"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.