Quantitative measurement of blood glucose influenced by multiple factors via photoacoustic technique combined with optimized wavelet neural networks-Reference-Cited by-同舟云学术

Quantitative measurement of blood glucose influenced by multiple factors via photoacoustic technique combined with optimized wavelet neural networks

Published:2022-12-07 Issue:3 Volume:16 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:Journal of Biophotonics

Author:

Ren Zhong¹²^ORCID,Liu Tao¹,Xiong Chengxin¹,Huang Shuanggen³,Zhang Jia¹,Peng Wenping¹,Wu Junli¹,Liang Gaoqiang¹,Sun Bingheng¹

Affiliation:

1. Key Laboratory of Optic‐electronic and Communication Jiangxi Science and Technology Normal University Nanchang China

2. Key Laboratory of Optic‐electronic Detection and Information Processing of Nanchang City Jiangxi Science and Technology Normal University Nanchang China

3. Agricultural Equipment Key Laboratory of Jiangxi Provincial Jiangxi Agriculture University Nanchang China

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202200304

Reference43 articles.

1. Recent Progress and Perspectives on Non-Invasive Glucose Sensors

2. Photoacoustic Spectroscopy Mediated Non-invasive Detection of Diabetics

3. Advances in Photoacoustic Noninvasive Glucose Testing

4. Measuring the optical parameters of weakly absorbing, highly turbid suspensions by a new technique: photoacoustic detection of scattered light

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