Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.
Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.
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DOI：
10.3390/s17030532
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发表时间：
2017-03-07
期刊：
影响因子：
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通讯作者：
Cinar A
中科院分区：
文献类型：
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作者：
Turksoy K;Monforti C;Park M;Griffith G;Quinn L;Cinar A
人工胰腺（AP）基于从连续葡萄糖监测（CGM）传感器接收的信息，计算通过胰岛素泵输注给1型糖尿病（T1 D）患者的最佳胰岛素剂量。人们已经认识到，练习是AP系统开发中的一个主要挑战。在AP系统中使用生物计量生理变量可能有利于预防运动引起的挑战和更好的葡萄糖调节。本研究的目标是找到生物计量变量之间的相关性，如心率（HR），热通量（HF），皮肤温度（ST），近体温（NBT），皮肤电反应（GSR）和能量消耗（EE），2D加速度-绝对差平均值（MAD）和运动期间葡萄糖浓度的变化（通过偏最小二乘（PLS））回归和变量投影重要性（VIP），以便确定哪些变量将最有用地包括在未来的人工胰腺中。对包括七种不同类型练习的数据集进行了PLS和VIP分析。数据来自26个临床实验。临床结果表明，ST是最一致的重要（重要的七个测试练习中的六个）变量在所有不同的运动测试。EE和HR也被发现是几种类型的运动的重要变量。我们还发现，在我们的实验中观察到的GSR和NBT的重要性可能与压力和环境温度变化对葡萄糖浓度的影响有关。在AP系统中使用生物计量测量可以提供对葡萄糖浓度的更好控制。
An artificial pancreas (AP) computes the optimal insulin dose to be infused through an insulin pump in people with Type 1 Diabetes (T1D) based on information received from a continuous glucose monitoring (CGM) sensor. It has been recognized that exercise is a major challenge in the development of an AP system. The use of biometric physiological variables in an AP system may be beneficial for prevention of exercise-induced challenges and better glucose regulation. The goal of the present study is to find a correlation between biometric variables such as heart rate (HR), heat flux (HF), skin temperature (ST), near-body temperature (NBT), galvanic skin response (GSR), and energy expenditure (EE), 2D acceleration-mean of absolute difference (MAD) and changes in glucose concentrations during exercise via partial least squares (PLS) regression and variable importance in projection (VIP) in order to determine which variables would be most useful to include in a future artificial pancreas. PLS and VIP analyses were performed on data sets that included seven different types of exercises. Data were collected from 26 clinical experiments. Clinical results indicate ST to be the most consistently important (important for six out of seven tested exercises) variable over all different exercises tested. EE and HR are also found to be important variables over several types of exercise. We also found that the importance of GSR and NBT observed in our experiments might be related to stress and the effect of changes in environmental temperature on glucose concentrations. The use of the biometric measurements in an AP system may provide better control of glucose concentration.