PPG-GAN: An Adversarial Network to De-noise PPG Signals during Physical Activity
Author:
Affiliation:
1. Wolfson School of Mechanical, Electrical, and Manufacturing Engineering
2. Loughborough University,School of Sport, Exercise and Health Sciences,Loughborough,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9982624/9982728/09982757.pdf?arnumber=9982757
Reference16 articles.
1. Image-to-Image Translation with Conditional Adversarial Networks
2. Adaptive notch-filtration to effectively recover photoplethysmographic signals during physical activity
3. SEGAN: Speech Enhancement Generative Adversarial Network
4. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger;Med Image Comput Comput Assist Interv,2015
5. An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN;zargari,2021
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1. Fast Quality-Aware AMDF Based Pulse Rate Estimation from Compressed PPG Measurements for Wearable Vital Signs Monitor;2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2023-06-29
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