Photoplethysmogram Signal Quality Evaluation by Unsupervised Learning Approach-Reference-Cited by-同舟云学术

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Photoplethysmogram Signal Quality Evaluation by Unsupervised Learning Approach

Published:2020-10-07 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Applied Signal Processing Conference (ASPCON)
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Author:

Roy Monalisa Singha,Gupta Rajarshi,Sharma Kaushik Das

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9276206/9276653/09276733.pdf?arnumber=9276733

Cited by 19 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. On-Device Signal Quality Guided and Embedded Physiologic Information for High Fidelity Continuous PPG Compression;IEEE Transactions on Instrumentation and Measurement;2024

2. Real-Time PPG-to-ECG Reconstruction Model With On-Device Recalibration Facility;IEEE Transactions on Instrumentation and Measurement;2024

3. A Robust Approach Assisted by Signal Quality Assessment for Fetal Heart Rate Estimation from Doppler Ultrasound Signal;Sensors;2023-12-08

4. Morphological features of the photoplethysmographic signal: a new approach to characterize the microcirculatory response to photobiomodulation;Frontiers in Physiology;2023-09-25

5. Photoplethysmography signal quality assessment using attractor reconstruction analysis;Biomedical Signal Processing and Control;2023-09

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