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Implementation of ECGNet and other tools for heart decease prediction

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
LICENSE		LICENSE
README.md		README.md
catboost_worker.py		catboost_worker.py
ecgnet_model.py		ecgnet_model.py
ecgnet_worker.py		ecgnet_worker.py
module_testing.ipynb		module_testing.ipynb
requirements.txt		requirements.txt
time_frequency_domain_features.py		time_frequency_domain_features.py
utils.py		utils.py

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ECG Worker

Implementation of ECGNet and other tools for heart decease prediction

`Installation`

load repository via git clone https://github.com/seyoulax/ecg_module.git
create env, for example conda env: conda create -n ecg_env python=3.10.12
install dependecies: pip install -r requirements.txt

`Usage`

you``ll need the dataset with signals r-peaks, you can use ours
and labels for them
after you get it you can see module_testing.ipynb as example of usage

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