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ECG-Neural-Networks

imported

software/ecg-neural-networks

Pretraining and evaluation pipelines for ECG-specific neural networks (e.g., ECG encoders, ECG generative models)

Machine-generated from the listed sources and not yet reviewed by a human.

ECG-Neural-Networks project image
GitHub preview card for ELM-Research/ECG-Neural-Networks. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
ELM-Research
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · ecg · ecg-signal · electrocardiogram · generative-ai · machine-learning
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • SynthECGecg · electrocardiogram · generative-ai

    The first systematic evaluation framework for synthetic 10-second 12-lead ECGs from diagnostic class-conditioned generative models

  • 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)

  • EDIecg · ecg-signal · electrocardiogram

    A Method to Improve Any ECG Denoising Technique In limb leads

  • bleakheartecg · electrocardiogram

    An asynchronous BLE Heart Monitor library with support for additional data from Polar monitors (ECG, accelerometers, etc)

  • gtk-ecg-viewerecg · electrocardiogram

    Electrocardiogram Viewer for Holter Monitors

sources
  1. api.github.com/repos/ELM-Research/ECG-Neural-Networks
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-18, 4 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 →

machine-readable

/v1/entries/54.json→ .entries["ecg-neural-networks"]

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