EDI
importedsoftware/edi
A Method to Improve Any ECG Denoising Technique In limb leads
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/amirBgazand/EDI
- Documentation
- unknown
- Tags
- cnn · cnn-pytorch · deep-learning · denoise · ecg · ecg-classification · ecg-denoising · ecg-signal · electrocardiogram · electrocardiography
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- gtk-ecg-viewerecg · electrocardiogram · electrocardiography
Electrocardiogram Viewer for Holter Monitors
- BRAVEHEARTecg · ecg-signal · electrocardiogram
BRAVEHEART: Open-source software for automated electrocardiographic and vectorcardiographic analysis
- ECG-Language-Modelsecg · ecg-signal · electrocardiogram
A research-oriented training and evaluation framework for ECG-Language Models (ELMs)
- ECG-Neural-Networksecg · ecg-signal · electrocardiogram
Pretraining and evaluation pipelines for ECG-specific neural networks (e.g., ECG encoders, ECG generative models)
- Preprocessing-Method-for-STEMI-Detectioncnn · ecg · electrocardiogram
Official source code of "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG"
- automatic-ecg-diagnosisecg · ecg-classification · ecg-signal
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".
- api.github.com/repos/amirBgazand/EDIretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-09-23, 7 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 →
/v1/entries/63.json→ .entries["edi"]
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