Using wavelet coefficients for the classification of the electrocardiogram-Reference-Cited by-同舟云学术

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Using wavelet coefficients for the classification of the electrocardiogram

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Container-title:Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143)
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Author:

de Chazal P.,Celler B.G.,Reilly R.B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/7218/19483/00900669.pdf?arnumber=900669

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anomaly Detection of ECG Time Series Signal Using Auto Encoders Neural Network;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

2. ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

3. An automated patient-specific ECG beat classification using LSTM-based recurrent neural networks;Biomedical Signal Processing and Control;2023-07

4. A real-time embedded system to detect QRS-complex and arrhythmia classification using LSTM through hybridized features;Expert Systems with Applications;2023-03

5. Smart machine fault diagnostics based on fault specified discrete wavelet transform;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-01

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