Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network-Reference-Cited by-同舟云学术

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Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network

Published:2022 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Bian Yuexin,Chen Jintai,Chen Xiaojun,Yang Xiaoxian,Chen Danny Z,Wu Jian

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09672735.pdf?arnumber=9672735

Cited by 6 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. Treefrog‐Inspired Flexible Electrode with High Permeability, Stable Adhesion, and Robust Durability;Advanced Materials;2024-05-31

2. Abnormalities analysis of electrocardiogram signals by using artificial intelligence;Multimedia Tools and Applications;2024-05-21

3. A Smartphone-Based M-Health Monitoring System for Arrhythmia Diagnosis;Biosensors;2024-04-18

4. A Neural Network for High-Precise and Well-Interpretable Electrocardiogram Classification;2024-01-04

5. A Literature Survey on Classification of Electrocardiogram(ECG) Abnormalities;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

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