bh1995/AF-classification
The repo is for the Heart Disease classification project using Transformer Encoders in PyTorch.
This project helps medical researchers and data scientists classify Atrial Fibrillation (AF) from raw Electrocardiogram (ECG) data. It takes raw ECG signals as input and outputs a binary classification indicating the presence or absence of AF. This is designed for individuals working on heart disease diagnostics and cardiovascular research.
No commits in the last 6 months.
Use this if you are a researcher or data scientist needing to automatically identify Atrial Fibrillation from ECG recordings for diagnostic or study purposes.
Not ideal if you are looking for a plug-and-play clinical diagnostic tool or need to classify other types of heart conditions.
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41
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Language
Python
License
MIT
Category
Last pushed
Aug 10, 2021
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0
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