Signal Analysis and Detection of COVID-19 Infection with ATR-FTIR Spectroscopy-Reference-Cited by-同舟云学术

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Signal Analysis and Detection of COVID-19 Infection with ATR-FTIR Spectroscopy

Published:2024-05-19 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Circuits and Systems (ISCAS)
language:
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Author:

Li Yina¹,Zhang Wenwen¹,Tang Zhouzhuo²,Feng Yingmei³,Yu Xia²,Wang Qi Jie¹,Lin Zhiping¹

Affiliation:

1. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,Singapore

2. Beihang University,School of Instrumentation and Optoelectronic Engineering,Beijing,China,100191

3. Capital Medical University,Beijing Youan Hospital,Department of Science and Development,Beijing,China,100069

Funder

National Medical Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558423.pdf?arnumber=10558423

Reference16 articles.

1. Infrared Based Saliva Screening Test for COVID‐19

2. Analysis of Machine Learning Methods for COVID-19 Detection Using Serum Raman Spectroscopy

3. Rapid diagnosis of COVID-19 using FT-IR ATR spectroscopy and machine learning

4. Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review

5. 1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19;Krohling,2023

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