willxxy/Text-EGM
[CHIL 2024] Interpretation of Intracardiac Electrograms Through Textual Representations
This project helps cardiologists and electrophysiologists interpret intracardiac electrogram (IEGM) recordings to better understand heart rhythms. It takes raw IEGM data as input and provides textual representations and visualizations that highlight important features in the heart signals. This allows medical professionals to analyze complex heart activity more effectively, particularly for conditions like atrial fibrillation.
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Use this if you need a tool to analyze intracardiac electrogram (IEGM) signals and generate interpretable textual and visual summaries to aid in diagnosis and treatment planning.
Not ideal if you are looking to analyze surface ECGs or other types of physiological signals, as this tool is specifically designed for intracardiac electrograms.
Stars
12
Forks
1
Language
Python
License
CC0-1.0
Category
Last pushed
Sep 04, 2024
Commits (30d)
0
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