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MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019

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MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019

Usage

python main.py

Environment

Python 3.7.5, PyTorch 1.2.0

If you find the idea useful or use this code in your own work, please cite our paper as

@inproceedings{hong2019mina,
  title={{MINA:} Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals},
  author={Hong, Shenda and Xiao, Cao and Ma, Tengfei and Li, Hongyan and Sun, Jimeng},
  booktitle = {IJCAI 2019},
  pages={5888--5894}
}

Dataset

Data Training data can be found at https://archive.physionet.org/challenge/2017/#challenge-data

Label Please use Revised labels (v3) at https://archive.physionet.org/challenge/2017/REFERENCE-v3.csv

Preprocessed Or you can download my preprocessed dataset challenge2017.pkl from https://drive.google.com/drive/folders/1AuPxvGoyUbKcVaFmeyt3xsqj6ucWZezf

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MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals, IJCAI 2019

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