Design of a Real-time Self-adjusting Calibration Algorithm to Improve the Accuracy of Continuous Blood Glucose Monitoring
Design of a Real-time Self-adjusting Calibration Algorithm to Improve the Accuracy of Continuous Blood Glucose Monitoring
复制标题
一种实时自调整校准算法的设计，提高连续血糖监测的准确性
DOI：
10.1007/s12010-019-03142-7
复制
发表时间：
2019-11-12
影响因子：
3
通讯作者：
Zheng, Xiaolin
中科院分区：
文献类型：
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作者：
Jia, Ziru;Huang, Lijuan;Zheng, Xiaolin
本研究的目的是建立一种实时自调整校准算法，以补偿皮下植入式葡萄糖传感器的信号漂移和灵敏度衰减。基于一点标定模型，设计了一种实时自调整的在体标定方法。对电流信号进行实时补偿，并定期标定灵敏度。采用最小二乘法拟合模型的初始参数，并对在体监测电流数据进行校正。与传统一点校准模型的血糖浓度平均绝对相对差（MARD）（22.85 ± 5.76%）相比，实时自校正体内校准方法校准的血糖浓度MARD为6.28 ± 2.31%。有效提高了动态血糖监测的准确性。该校正算法能够真实的补偿信号漂移，并定期校正灵敏度，提高动态血糖监测的准确性，从而显著增强糖尿病患者的自我管理能力。
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.