Beat detection and classification of ECG using self organizing maps-Reference-Cited by-同舟云学术

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Beat detection and classification of ECG using self organizing maps

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Container-title:Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)
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Author:

Risk M.R.,Sobh J.F.,Saul J.P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx4/6085/16293/00754471.pdf?arnumber=754471

Cited by 14 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. Abnormal ECG detection based on an adversarial autoencoder;Frontiers in Physiology;2022-09-02

3. Arrhythmia classification of LSTM autoencoder based on time series anomaly detection;Biomedical Signal Processing and Control;2022-01

4. An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population;International Journal of Environmental Research and Public Health;2020-09-18

5. Identification of Sudden Cardiac Arrest (SCA) using Modified Wavelet Transform;Proceedings of the 2nd International Conference on Biomedical Signal and Image Processing - ICBIP 2017;2017

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