Facchinetti Andrea, Del Favero Simone, Sparacino Giovanni, Cobelli Claudio
Department of Information Engineering, University of Padova, Via GGradenigo 6/B, 35131 Padova, Italy.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4947-50. doi: 10.1109/IEMBS.2011.6091226.
New sensors for real-time continuous glucose monitoring (CGM) and pumps for continuous subcutaneous insulin infusion (CSII), possibly mounted on the same device, opened new scenarios for Type-1 diabetes treatment. However, possible failures of either CGM or CSII can expose diabetic patients to risks that can be dangerous especially overnight. In this contribution we present a proof-of-concept method, developed in a state-space context and implemented through a Kalman estimator, to detect in real time possible overnight failures of the sensor-pump system by simultaneously using CGM and CSII data. The method is tested on two simulated and one real subject. Results show that the method is able to correctly generate alerts for sensor-pump failures and stimulates further investigation on its development.
用于实时连续血糖监测（CGM）的新型传感器以及用于持续皮下胰岛素输注（CSII）的泵，可能安装在同一设备上，为1型糖尿病治疗开辟了新的前景。然而，CGM或CSII的任何可能故障都可能使糖尿病患者面临风险，尤其是在夜间，这些风险可能很危险。在本论文中，我们提出了一种在状态空间背景下开发并通过卡尔曼估计器实现的概念验证方法，通过同时使用CGM和CSII数据来实时检测传感器 - 泵系统可能出现的夜间故障。该方法在两个模拟对象和一个真实对象上进行了测试。结果表明，该方法能够正确地生成传感器 - 泵故障警报，并促使对其进一步开发进行研究。
