analysiscenter/cardio
CardIO is a library for data science research of heart signals
This project helps medical researchers and data scientists analyze large collections of electrocardiograms (ECGs) to better understand heart signals and detect diseases. You input raw ECG data, potentially from various formats, and receive processed signals, identified heart features (like P, Q, R, S, T waves), calculated heart rates, or even predictions of heart conditions like atrial fibrillation. It's designed for professionals conducting deep research into cardiovascular health using machine learning.
257 stars. No commits in the last 6 months.
Use this if you are a medical researcher or data scientist needing to build, train, and test machine learning models for comprehensive analysis of ECG data at scale.
Not ideal if you need a simple, off-the-shelf diagnostic tool for individual patient care, as this requires setting up and managing machine learning pipelines.
Stars
257
Forks
78
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 17, 2024
Commits (30d)
0
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