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ECG Classification

ECG Classification based on MLP RNN LSTM Attention-Model CNN

Materials

Introduce

  • The DeHaze folder is a dehaze model of image
  • EEG folder is a EEG classification model
  • other ECG model folder contains some simple models or some ideas for trying
  • 12-Lead ECG model is four deep learning model which build with pytorch
    • Vanilla-CNN is a simple CNN model to classify the CCDD database
    • Channel-RNN is a CNN+RNN network
    • Featrue-CNN is a RNN+CNN network
    • Multi-RNN is a 12-Lead based RNN network

Conclusion

ECG signals were classified using different deep learning models. And try to combine LSTM with CNN to process multi-lead sequence signals. The model performance is not particularly good, but I hope these idea will help you a little.