Journal
APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
Volume 190, Issue 4, Pages 1163-1176Publisher
SPRINGER
DOI: 10.1007/s12010-019-03142-7
Keywords
Glucose sensor; Dynamic blood glucose monitoring; Calibration algorithm; Signal drift; Sensitivity attenuation
Funding
- National Key Research and Development Program of China [2018YFC2000804]
- National Natural Science Foundation of China [81671850]
- Fundamental Research Funds for the Central Universities [2019CDCG0014]
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The aim of this study is to establish a real-time self-adjusting calibration algorithm to compensate for signal drift and sensitivity attenuation of subcutaneous implantable glucose sensors. A real-time self-adjusting in vivo calibration method was designed based on the one-point calibration model. The current signal was compensated in real-time and the sensitivity was calibrated regularly. The least squares method was used to fit the initial parameters of the model, and then, the in vivo monitored current data was calibrated. Comparing with the mean absolute relative difference (MARD) of the blood glucose concentration by the traditional one-point calibration model (22.85 +/- 5.76%), the MARD of the blood glucose concentration calibrated by the real-time self-adjusting in vivo calibration method was 6.28 +/- 2.31%. The accuracy of the dynamic blood glucose monitoring was effectively improved. This calibration algorithm could compensate the signal drift in real time and correct sensitivity regularly to improve the accuracy of dynamic glucose monitoring, thus significantly enhancing diabetic self-management.
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