An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9629355/9629471/09629984.pdf?arnumber=9629984
Cited by 8 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. Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring;Expert Systems with Applications;2024-07
2. A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram Using Deep Learning Model;Diagnostics;2024-01-28
3. RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation;IEEE Internet of Things Journal;2023-09-15
4. Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach;Biomedical Signal Processing and Control;2023-08
5. Log-Spectral Matching GAN: PPG-Based Atrial Fibrillation Detection can be Enhanced by GAN-Based Data Augmentation With Integration of Spectral Loss;IEEE Journal of Biomedical and Health Informatics;2023-03
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