ChristophReich1996 / ECG_Classification

Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022, EMBC 2023].

Date Created 2021-04-30 (3 years ago)

Commits 444 (last one about a year ago)

Stargazers 64 (2 this week)

Watchers 3 (0 this week)

Forks 9

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RepositoryStats indexes 630,443 repositories, of these ChristophReich1996/ECG_Classification is ranked #414,922 (34th percentile) for total stargazers, and #416,864 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #80,347/128,655.

ChristophReich1996/ECG_Classification is also tagged with popular topics, for these it's ranked: deep-learning (#6,462/8798), machine-learning (#6,154/8384), pytorch (#4,571/6209), transformer (#773/1072), classification (#410/571), convolutional-neural-networks (#414/567), signal-processing (#162/223)

Other Information

ChristophReich1996/ECG_Classification has 1 open pull request on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 2 closed issues.

Homepage URL: https://iopscience.iop.org/article/10.1088/1361-6579/ac7840

All Topics

embc pytorch ecg-data ecg-signal transformer deep-learning classification machine-learning signal-processing ecg-classification pattern-recognition convolutional-neural-networks

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33 commits on the default branch (main) since jan '22

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updated: 2025-03-23 @ 07:07pm, id: 363241525 / R_kgDOFaagNQ