ELM-Research/ELM

A Training and Evaluation Framework for ECG-Language Models (ELMs)

39
/ 100
Emerging

This framework helps medical researchers and data scientists fine-tune and evaluate 'language models' that understand electrocardiogram (ECG) data. You input preprocessed ECG signals and textual conversational data, and it outputs trained models capable of interpreting and generating insights from ECGs. This is for those working on advanced AI applications in cardiology and medical diagnostics.

Use this if you are developing or testing advanced AI models that need to interpret or generate text based on ECG signals, supporting various model architectures and data formats.

Not ideal if you are looking for a simple, off-the-shelf diagnostic tool for immediate clinical use or do not have experience with model training and evaluation.

cardiology-research medical-AI ECG-analysis biomedical-language-models diagnostic-AI
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 11 / 25
Community 13 / 25

How are scores calculated?

Stars

9

Forks

2

Language

Python

License

MIT

Last pushed

Mar 11, 2026

Commits (30d)

0

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