Adaptive low-power wrist SpO2 monitoring system design using a multi-filtering scheme-Reference-Cited by-同舟云学术

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Adaptive low-power wrist SpO2 monitoring system design using a multi-filtering scheme

Published:2023-03 Issue: Volume:81 Page:104432
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Sun Guiling,Ren Xiangnan,Wang Zhihong,Liu Feng^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference36 articles.

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2. The burden of cardiovascular diseases among US states, 1990–2016;Global Burden of Cardiovascular Diseases Collaboration;JAMA Cardiol.,2018

3. China cardiovascular diseases report 2018: an updated summary;Ma;J. Geriatr Cardiol.,2020

4. Health care expenditure and income: A global perspective;Baltagi;Health Econ.,2017

5. Healthcare expenditure and economic growth in developing countries;Bedir;Adv. Econ. Bus.,2016

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1. A comparative study of accuracy in major adaptive filters for motion artifact removal in sleep apnea tests;Medical & Biological Engineering & Computing;2023-12-05

2. Pulse oximetry;Highlights in Science, Engineering and Technology;2023-11-29

3. Performance Evaluation of Ten SpO2 Measurement Equations Using Estimation Error Range Metric and Different Signal Lengths;2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA);2023-10-17

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