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首页> 外文期刊>Diabetes care >Real-time improvement of continuous glucose monitoring accuracy: The smart sensor concept
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Real-time improvement of continuous glucose monitoring accuracy: The smart sensor concept

机译：实时提高连续葡萄糖监测的准确性：智能传感器概念

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OBJECTIVE-Reliability of continuous glucose monitoring (CGM) sensors is key in several applications. In this work we demonstrate that real-time algorithms can render CGM sensors smarter by reducing their uncertainty and inaccuracy and improving their ability to alert for hypo- and hyperglycemic events. RESEARCH DESIGN ANDMETHODS-The smart CGM (sCGM) sensor concept consists of a commercial CGM sensor whose output enters three software modules, able to work in real time, for denoising, enhancement, and prediction. These three software modules were recently presented in the CGM literature, and here we apply them to the Dexcom SEVEN Plus continuous glucosemonitor.We assessed the performance of the sCGM on data collected in two trials, each containing 12 patients with type 1 diabetes. RESULTS-The denoising module improves the smoothness of the CGM time series by an average of ??57%, the enhancement module reduces the mean absolute relative difference from 15.1 to 10.3%, increases by 12.6% the pairs of values falling in the A-zone of the Clarke error grid, and finally, the prediction module forecasts hypo- and hyperglycemic events an average of 14 min ahead of time. CONCLUSIONS-We have introduced and implemented the sCGM sensor concept. Analysis of data from 24 patients demonstrates that incorporation of suitable real-time signal processing algorithms for denoising, enhancement, and prediction can significantly improve the performance of CGM applications. This can be of great clinical impact for hypo- and hyperglycemic alert generation as well in artificial pancreas devices. ? 2013 by the American Diabetes Association.
机译：目的-连续血糖监测（CGM）传感器的可靠性在多种应用中至关重要。在这项工作中，我们证明了实时算法可以通过降低CGM传感器的不确定性和不准确性并提高其预警低血糖和高血糖事件的能力，从而使其变得更智能。研究设计和方法-智能CGM（sCGM）传感器概念由一个商用CGM传感器组成，其输出进入三个软件模块，这些模块可以实时工作以进行降噪，增强和预测。这三个软件模块最近在CGM文献中介绍过，在这里我们将它们应用于Dexcom SEVEN Plus连续血糖监测仪。我们通过两项试验收集的数据评估了sCGM的性能，每个试验均包含12名1型糖尿病患者。结果-去噪模块将CGM时间序列的平滑度平均提高了57％，增强模块将平均绝对相对差从15.1降低到10.3％，将落入A-中的值对增加了12.6％最后，预测模块将平均提前14分钟预测低血糖和高血糖事件。结论-我们已经介绍并实现了sCGM传感器概念。对来自24位患者的数据进行的分析表明，结合用于降噪，增强和预测的合适实时信号处理算法可以显着改善CGM应用程序的性能。这对于产生低血糖和高血糖警报以及在人工胰腺装置中可能具有很大的临床影响。 ？ 2013年由美国糖尿病协会颁发。

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