ECG Classification with Dual Models: XGBoost Voting and Deep Learning with Attention-Reference-Cited by-同舟云学术

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ECG Classification with Dual Models: XGBoost Voting and Deep Learning with Attention

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:2023 16th International Conference on Advanced Computer Theory and Engineering (ICACTE)
language:
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Author:

Li Yu¹,Hu Yunhao²,Chen Jie³,Wang Binghao⁴,Liu Wei

Affiliation:

1. School of Physical Science and Technology, Wuhan University,Wuhan,China,430072

2. Hubei Luojia Laboratory,Wuhan,China,430072

3. School of Microelectronics, Wuhan University,Wuhan,China,430072

4. Wuhan Institute of Quantum Technology,Wuhan,China,430072

Funder

National Key R&D Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10335166/10335103/10335476.pdf?arnumber=10335476

Reference22 articles.

1. Accurate classification of ECG arrhythmia using MOWPT enhanced fast compression deep learning networks

2. Breast Cancer Classification Using an Extreme Gradient Boosting Model with F-Score Feature Selection Technique

3. Multi-class Classification Approach for Retinal Diseases

4. The impact of the MIT-BIH Arrhythmia Database

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