New progress in non-invasive blood glucose testing research

New progress in non-invasive blood glucose testing research

September 3, 2018 Source: Shenzhen Advanced Technology Research Institute

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Recently, the Nie Zedong team of the Institute of Biomedical and Health Engineering, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, has made new progress in the field of non-invasive blood glucose testing. Related results An approach for Noninvasive Blood Glucose Monitoring Based on Bioimpedance Difference Considering Blood Volume Pulsation IEEE series publication IEEE access reception (DOI: 10.1109/ACCESS.2018.2866601). The co-first authors of the paper are Li Jingzhen and Tobore Igbe of Shenzhen Advanced Institute, and the author of the communication is Nie Zedong, an associate researcher.

So far, there is no practical cure for diabetes. Diabetes patients are recommended to continuously adjust the amount of oral hypoglycemic drugs and insulin or adjust diet exercise by continuously detecting changes in blood glucose concentration, thereby controlling the fluctuation of blood sugar levels, preventing or reducing complication. Non-invasive blood glucose testing has unique advantages in achieving continuous dynamic blood glucose testing (CGM) due to its low cost, no pain, and continuous monitoring. After in-depth analysis of the difficulties of non-invasive blood glucose detection technology, the research team proposed a blood glucose detection method based on blood volume impedance difference, and evaluated it by numerical simulation, in vitro experiment and in vivo experiment. This method is expected to reduce the error of non-invasive blood glucose measurement caused by human psychological activities, and has important research significance.

The research was approved by the National Natural Science Foundation of China, “Research on Radio Frequency Dynamic Response Mechanism of Human Tissues in Non-homogeneous Media in Continuous Blood Glucose Monitoring” and the National Natural Science Foundation Key Project “Research on Channel Modeling Methods and Security Mechanisms for Wearable Communication”. Funding.

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