Non-Contact Supervision of COVID-19 Breathing Behaviour With FMCW Radar and Stacked Ensemble Learning Model in Real-Time-Reference-Cited by-同舟云学术

Non-Contact Supervision of COVID-19 Breathing Behaviour With FMCW Radar and Stacked Ensemble Learning Model in Real-Time

Published:2022-08 Issue:4 Volume:16 Page:664-678
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Purnomo Ariana Tulus¹^ORCID,Komariah Kokoy Siti²^ORCID,Lin Ding-Bing¹^ORCID,Hendria Willy Fitra³^ORCID,Sin Bong-Kee²^ORCID,Ahmadi Nur⁴^ORCID

Affiliation:

1. Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

2. Department of AI Convergence and the Division of Computer Engineering (respectively), Pukyong National University, Busan, Republic of Korea

3. Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, Republic of Korea

4. Center for Artificial Intelligence (U-CoE AI-VLB), School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia

Funder

ITB-NTUST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4156126/9916560/09833356.pdf?arnumber=9833356

Reference105 articles.

1. Respiratory rate breathing pattern;yuan;McMaster Univ Med J Clin Rev,2013

2. Frequency Features Selection Using Decision Tree for Classification of Sleep Breathing Sound

3. Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes

4. Artificial Breath Classification Using XGBoost Algorithm for Diabetes Detection

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