Direct Feature Extraction and Diagnosis of ECG Signal in the Compressed Domain
Author:
Funder
National Natural Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9502188/09433552.pdf?arnumber=9433552
Cited by 9 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. A Task-Generic High-Performance Unsupervised Pre-Training Framework for ECG;IEEE Sensors Journal;2024-07-01
2. Effective Sparse Reconstruction Algorithms for Compressed ECG Sensing with Deterministic Binary Block Diagonal Sensing Matrix;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27
3. Identification and classification of arrhythmic heartbeats from electrocardiogram signals using feature induced optimal extreme gradient boosting algorithm;Computer Methods in Biomechanics and Biomedical Engineering;2023-10-09
4. Inter-patient ECG classification with intra-class coherence based weighted kernel extreme learning machine;Expert Systems with Applications;2023-10
5. CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals;Physiological Measurement;2023-07-01
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