关键词: Blood glucose (BG) Calibration Continuous glucose monitoring (CGM) Dynamic estimation IG-BG kinetic Interstitial fluid glucose (IG)

Mesh : Extracellular Fluid / chemistry Biosensing Techniques / instrumentation methods Calibration Humans Algorithms Blood Glucose Self-Monitoring / instrumentation Blood Glucose / analysis Diabetes Mellitus / blood diagnosis Equipment Design Continuous Glucose Monitoring

来  源:   DOI:10.1016/j.bios.2024.116450

Abstract:
Continuous glucose monitoring (CGM) is of great importance to the treatment and prevention of diabetes. As a proven commercial technology, electrochemical glucose sensor based on interstitial fluid (ISF) sensing has high sensitivity and wide detection range. Therefore, it has good promotion prospects in noninvasive or minimally-invasive CGM system. However, since there are concentration differences and time lag between glucose in plasma and ISF, the accuracy of this type of sensors are still limited. Typical calibration algorithms rely on simple linear regression which do not account for the variability of the sensitivity of sensors. To enhance the accuracy and stability of CGM based on ISF, optimization of calibration algorithm for sensors is indispensable. While there have been considerable researches on improving calibration algorithms for CGM, they have still received less attention. This article reviews the problem of typical calibration and presents the outstanding calibration algorithms in recent years. Finally, combined with existing research and emerging sensing technologies, this paper makes an outlook on the future calibration algorithms for CGM sensors.
摘要:
连续血糖监测(CGM)对糖尿病的治疗和预防具有重要意义。作为一项成熟的商业技术,基于间质液(ISF)传感的电化学葡萄糖传感器具有灵敏度高、检测范围广等优点。因此,在无创或微创CGM系统中具有良好的推广前景。然而,由于血浆中葡萄糖和ISF之间存在浓度差异和时滞,这种传感器的精度仍然有限。典型的校准算法依赖于简单的线性回归,其不考虑传感器灵敏度的可变性。为了提高基于ISF的CGM的准确性和稳定性,传感器校准算法的优化是必不可少的。虽然对改进CGM的校准算法已经有了相当多的研究,他们仍然受到较少的关注。本文回顾了典型的校准问题,并介绍了近年来出色的校准算法。最后,结合现有研究和新兴传感技术,本文对CGM传感器的标定算法进行了展望。
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