AE
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".
440 138 +0/wk
GitHub
atrial-fibrillation atrial-fibrillation-detection convolutional-neural-networks deep-learning ecg ecg-classification ecg-signal
Trend
3
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
antonior92/automatic-ecg-diagnosis has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | automatic-ecg-diagnosis | graph-neural-network-course | rllm | GAN_Review |
|---|---|---|---|---|
| Stars | 440 | 441 | 438 | 443 |
| Forks | 138 | 86 | 34 | 78 |
| Weekly Growth | +0 | +0 | -1 | +0 |
| Language | Python | Jupyter Notebook | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | MIT |
Capability Radar vs graph-neural-network-course
automatic-ecg-diagnosis
graph-neural-network-course
Maintenance Activity 0
Last code push 1111 days ago.
Community Engagement 100
Fork-to-star ratio: 31.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.