Three-Level and Three-Way Vagueness Similarity Measurements for Electrocardiogram (ECG) Data Analysis
Author:
Affiliation:
1. Sichuan Normal University Institute of Intelligent Information and Quantum Information, Sichuan Normal University,School of Mathematical Sciences,Chengdu,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9755300/9755317/09755421.pdf?arnumber=9755421
Reference18 articles.
1. DeepECG: Image-based electrocardiogram interpretation with deep convolutional neural networks
2. Deep learning for digitizing highly noisy paper-based ECG records;xia;Computers in Biology and Medicine,2020
3. Toward improving ECG biometric identification using cascaded convolutional neural networks;zhai;Neurocomputing,2020
4. A New Automated Signal Quality-Aware ECG Beat Classification Method for Unsupervised ECG Diagnosis Environments
5. A Frame work of Automatic Analysis System of Electrocardiogram Signals
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1. Linear-combined rough vague sets and their three-way decision modeling and uncertainty measurement optimization;International Journal of Machine Learning and Cybernetics;2023-06-25
2. Binary Boundaries and Power Set Space of Graded Rough Sets and Their Correlative ECG (Electrocardiogram) Data Analysis;Rough Sets;2022
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