Design of a Real-time Self-adjusting Calibration Algorithm to Improve the Accuracy of Continuous Blood Glucose Monitoring

被引：7
|
作者：
Jia, Ziru [1 ]
Huang, Lijuan [1 ]
Liu, Hongying [1 ,2 ]
Huang, Yonghong [1 ]
Li, Wang [1 ]
Pi, Xitian [1 ,3 ]
Zheng, Xiaolin [1 ]
机构：
[1] Chongqing Univ, Key Lab Natl Def Sci & Technol Innovat Micronano, Chongqing 400030, Peoples R China
[2] Chongqing Engn Res Ctr Med Elect, Chongqing 400030, Peoples R China
[3] Chongqing Univ, Coll Bioengn, Key Lab Biorheol Sci & Technol, Minist Educ, 174 Shazheng St, Chongqing 400030, Peoples R China
来源：
APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY | 2020年 / 190卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Glucose sensor; Dynamic blood glucose monitoring; Calibration algorithm; Signal drift; Sensitivity attenuation; PLASMA-GLUCOSE; SENSOR;
D O I：
10.1007/s12010-019-03142-7
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：1163 / 1176
页数：14
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