Blood glucose detection based on Teager-Kaiser main energy of photoacoustic signal

Hongfeng Long; Bingzhang Chen; Wei Li; Yongli Xian; Zhenming Peng

doi:10.1016/j.compbiomed.2021.104552

Blood glucose detection based on Teager-Kaiser main energy of photoacoustic signal

Comput Biol Med. 2021 Jul:134:104552. doi: 10.1016/j.compbiomed.2021.104552. Epub 2021 Jun 8.

Authors

Hongfeng Long¹, Bingzhang Chen², Wei Li¹, Yongli Xian³, Zhenming Peng⁴

Affiliations

¹ School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China; Laboratory of Imaging Detection and Intelligent Perception University of Electronic Science and Technology of China, 610054, Chengdu, China.
² School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China; Laboratory of Imaging Detection and Intelligent Perception University of Electronic Science and Technology of China, 610054, Chengdu, China. Electronic address: bChen@uestc.edu.cn.
³ School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China; School of Electronic Engineering and Electronic Information, Xihua University, Chengdu, 610039, China.
⁴ School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China; Laboratory of Imaging Detection and Intelligent Perception University of Electronic Science and Technology of China, 610054, Chengdu, China. Electronic address: zmpeng@uestc.edu.cn.

PMID: 34144363
DOI: 10.1016/j.compbiomed.2021.104552

Abstract

Real-time blood glucose detection is an essential tool for diabetes monitoring. Non-invasive blood glucose detection technology is one of the current research hotspots in this field. Previous research mainly focused on improving the system's detection capability to obtain signals with low signal-to-noise ratio and high quality, and simple methods are often used in signal processing. Moreover, photoacoustic signal simulation also simplifies the influence of the transmission medium on the signal. In the present study, we built a new simulation model which considers human skin, blood, and the detector's limitations, to obtain a more practical photoacoustic signal. We then proposed a blood glucose detection algorithm based on Teager-Kaiser main energy (TKME) to overcome noise and medium interference and achieve a high detection accuracy at low SNR. Finally, the simulation and actual data were utilised during the experiment, and the detection error was 15 mg/dL (SNR = 10 dB).

Keywords: Blood glucose detection algorithm; Human skin and blood model; Photoacoustic signal of blood glucose; Teager-kaiser main energy.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Blood Glucose*
Computer Simulation
Humans
Signal Processing, Computer-Assisted*
Signal-To-Noise Ratio

Substances

Blood Glucose