likith012/IMLE-Net
Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"
This tool assists cardiologists and medical researchers in accurately classifying cardiovascular diseases using 12-channel ECG recordings. It takes raw or preprocessed multi-channel ECG data as input and outputs a diagnosis with explanations on which parts of the ECG signal (beats, rhythms, channels) contributed to the classification. It is designed for medical professionals or scientists analyzing ECG data.
No commits in the last 6 months.
Use this if you need an accurate, interpretable classification of cardiovascular diseases from standard 12-channel ECG recordings, understanding not just the diagnosis but also the underlying patterns in the data.
Not ideal if you are working with single-channel ECG data or require real-time, on-device analysis for immediate patient monitoring.
Stars
34
Forks
23
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 11, 2023
Commits (30d)
0
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