antonior92 / automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

Date Created 2020-01-17 (5 years ago)
Commits 29 (last one 3 years ago)
Stargazers 376 (0 this week)
Watchers 8 (0 this week)
Forks 125
License mit
Ranking

RepositoryStats indexes 629,376 repositories, of these antonior92/automatic-ecg-diagnosis is ranked #117,411 (81st percentile) for total stargazers, and #237,246 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,248/128,345.

antonior92/automatic-ecg-diagnosis is also tagged with popular topics, for these it's ranked: deep-learning (#2,533/8791),  convolutional-neural-networks (#139/565)

Other Information

antonior92/automatic-ecg-diagnosis has 2 open pull requests on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 15 closed issues.

Homepage URL: https://www.nature.com/articles/s41467-020-15432-4

Star History

Github stargazers over time

4004003503503003002502502002001501501001005050002021202120222022202320232024202420252025

Watcher History

Github watchers over time, collection started in '23

998.58.5887.57.5776.56.5665.55.55520232023Jul '23Jul '2320242024Jul '24Jul '2420252025

Recent Commit History

2 commits on the default branch (master) since jan '22

22221111110000Jul '22Jul '2220232023Jul '23Jul '2320242024Jul '24Jul '2420252025

Yearly Commits

Commits to the default branch (master) per year

1616141412121010886644220020202020202120212022202220242024

Issue History

Total Issues
Open Issues
Closed Issues
181816161414121210108866442200Jul '20Jul '2020212021Jul '21Jul '2120222022Jul '22Jul '2220232023Jul '23Jul '2320242024Jul '24Jul '2420252025

Languages

The only known language in this repository is Python

PythonPython

updated: 2025-03-16 @ 10:30pm, id: 234625472 / R_kgDODfwZwA