ELM-Research/ECG-Language-Models
A Training and Evaluation Framework for ECG-Language Models (ELMs)
This framework helps researchers and medical AI developers fine-tune and evaluate 'ECG-language models' (ELMs). These models learn to interpret and generate text about electrocardiogram (ECG) data. You input preprocessed ECG signals and corresponding text, and the system outputs specialized ELMs capable of tasks like automated ECG interpretation or generating clinical notes based on heart rhythm data.
Use this if you are a researcher or AI developer working on advanced medical AI that needs to build, train, or benchmark models capable of understanding and generating human-like text from ECG data.
Not ideal if you are a clinician looking for an out-of-the-box diagnostic tool or a non-developer seeking a simple application for ECG analysis.
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9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
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