dot-res-lstm
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Classification of ECG signals by dot Residual LSTM Network for anomaly detection
dot-res-lstm
Classification of ECG signals by dot Residual LSTM Network for anomaly detection
Contents
- [x] dot-res-lstm for ECG
- [x] VAE data generation
- [x] 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}
}