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 59 (0 this week)

Watchers 4 (0 this week)

Forks 9

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RepositoryStats indexes 595,856 repositories, of these ChristophReich1996/ECG_Classification is ranked #420,322 (29th percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #80,246/119,431.

ChristophReich1996/ECG_Classification is also tagged with popular topics, for these it's ranked: deep-learning (#6,548/8512), machine-learning (#6,225/8063), pytorch (#4,628/6025), transformer (#765/1018), convolutional-neural-networks (#432/549), classification (#408/543), signal-processing (#163/217)

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: 2024-11-22 @ 09:58pm, id: 363241525 / R_kgDOFaagNQ