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Classification of ECG signals by dot Residual LSTM Network for anomaly detection

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zabir-nabil/dot-res-lstm

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dot-res-lstm

Classification of ECG signals by dot Residual LSTM Network for anomaly detection

Contents

  • dot-res-lstm for ECG
  • VAE data generation
  • Weights
  • GAN

Model Architecture


Data

You can download the dataset from dataset

Or, you can use the converted numpy files (.npy) we generated for training and testing from this repository for benchmarking against our results.

Publication

Available @ paper link

Citation

If you use the code or the repository in your research, kindly cite our work as following -

bibtex

@article{alclassification,
  title={Classification of ECG signals by dot Residual LSTM Network with data augmentation for anomaly detection},
  author={Al Nazi, Zabir and Ananna Biswas, Md and Rayhan, Abu and Abir, Tasnim Azad}
}

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