Photoplethysmography Motion Artifacts Removal Based on Signal-Noise Interaction Modeling Utilizing Envelope Filtering and Time-Delay Neural Network-Reference-Cited by-同舟云学术

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Photoplethysmography Motion Artifacts Removal Based on Signal-Noise Interaction Modeling Utilizing Envelope Filtering and Time-Delay Neural Network

Published:2020-04-01 Issue:7 Volume:20 Page:3732-3744
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Xu Ke^ORCID,Jiang Xinyu,Chen Wei^ORCID

Funder

National Basic Research Program of China

Shanghai Municipal Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9025730/08935379.pdf?arnumber=8935379

Cited by 27 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. Signal completion using generative adversarial networks for enhanced photoplethysmography measurement accuracy;Computers in Biology and Medicine;2024-09

2. Anomaly Detection of Motion Artifact in Photoplethysmography (PPG) Sensors Using Unsupervised Learning;IEEE Sensors Journal;2024-07-15

3. Ultraflexible Ring‐Shaped Organic Photodetectors for Motion Artifact‐Less Photoplethysmography;Advanced Optical Materials;2024-06-21

4. Integrated Algorithm for Passive and Active Motion Artifact Removal in Photoplethysmography;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

5. Opening the envelope: Efficient envelope-based PPG denoising algorithm;Biomedical Signal Processing and Control;2024-02

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