LSTM-Based Cardiovascular Disease Detection Using ECG Signal
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-1056-1_12
Reference14 articles.
1. Tan, J.H., Hagiwara, Y., Pang, W., Lim, I., Oh, S.L., Adam, M., Acharya, U.R.: Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals. Comput. Biol. Med. 94, 19–26 (2018)
2. Oh, S.L., Ng, E.Y., San Tan, R., Acharya, U.R.: Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats. Comput. Biol. Med. 102, 278–287 (2018)
3. Yildirim, Ö.: A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification. Comput. Biol. Med. 96, 189–202 (2018)
4. Faust, O., Shenfield, A., Kareem, M., San, T.R., Fujita, H., Acharya, U.R.: Automated detection of atrial fibrillation using long short-term memory network with RR interval signals. Comput. Biol. Med. 102, 327–335 (2018)
5. Pandey, S.K., Janghel, R.R.: Automatic arrhythmia recognition from electrocardiogram signals using different feature methods with long short-term memory network model. Signal Image Video Process. 1–9 (2020)
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