Research on Motion Artifact Elimination Algorithm for Heart Rate Monitoring in Wearable Application-Reference-Cited by-同舟云学术

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Research on Motion Artifact Elimination Algorithm for Heart Rate Monitoring in Wearable Application

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 35th Chinese Control and Decision Conference (CCDC)
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Author:

Du JiaTao¹,Li XiaoHui¹,Nie ZeDong²,Ding Yuemin³,Cai Bin¹,He Jie¹

Affiliation:

1. WuHan University of Science and Technology,College of Information Science and Engineering,WuHan,P.R. China

2. Shenzhen Institute of Advanced Technology China Academy of Sciences,Minimally Invasive Center of Medical Institute,ShenZhen,P.R. China

3. University of Navarra,Tecnun School of Engineering,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327312.pdf?arnumber=10327312

Reference18 articles.

1. Robust De-Noising Technique for Accurate Heart Rate Estimation Using Wrist-Type PPG Signals

2. A Robust Fusion Method for Motion Artifacts Reduction in Photoplethysmography Signal

3. Toward arobust estimation of respiratory rate from pulse oximeters;pimentel;IEEETrans Biomed Eng,2017

4. Multiparameter respiratory rate estimation from the photoplethysmogram;karlen;IEEE Trans Biomed Eng,2013

5. Real-Time Robust Heart Rate Estimation From Wrist-Type PPG Signals Using Multiple Reference Adaptive Noise Cancellation

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