JaeBinCHA7/ECG-Multi-Label-Classification-Using-Multi-Model
In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.
This project helps medical professionals and researchers automatically classify multiple conditions from 12-lead ECGs. You input raw ECG data, and it outputs a classification for various heart conditions like arrhythmias and ischemic cardiovascular diseases. This is useful for cardiologists, general practitioners, and medical researchers analyzing large volumes of ECGs.
No commits in the last 6 months.
Use this if you need to quickly identify multiple cardiac abnormalities from 12-lead ECG recordings to aid in diagnosis or research.
Not ideal if you require real-time, on-device ECG analysis or are working with single-lead ECG data.
Stars
11
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—
Language
Python
License
MIT
Category
Last pushed
Aug 26, 2024
Commits (30d)
0
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