Optoacoustic quantitative in vitro detection of diabetes mellitus involving the comprehensive impacts based on improved quantum particle swarm optimized wavelet neural network

Optoacoustic quantitative in vitro detection of diabetes mellitus involving the comprehensive impacts based on improved quantum particle swarm optimized wavelet neural network

AbstractThe high accurate detection of blood glucose level (BGL) is very important for non-invasive monitoring of diabetes mellitus. In this work, the optoacoustic (OA) quantitative in vitro detection of diabetes mellitus involving the comprehensive impacts of multiple factors (irradiation energy, c...

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Bibliographic Details
Main Authors: Zhong Ren, Tao Liu, Chengxin Xiong, Wenping Peng, Junli Wu, Gaoqiang Liang, Bingheng Sun
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:International Journal of Optomechatronics
Subjects:
Diabetes mellitus
optoacoustic quantitative detection
blood glucose
wavelet neural network
quantum particle swarm optimization
nonlinear dynamic shrinkage coefficient strategy
Online Access:https://www.tandfonline.com/doi/10.1080/15599612.2023.2185714

Internet

https://www.tandfonline.com/doi/10.1080/15599612.2023.2185714

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