一个闭环微针集成的生理模型,用于预测性血糖管理
Marco Fratus1, Muhammad A Alam1
1Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47906.
概括
一个新的基于物理的框架预测了微针 (MN) 设计如何影响糖尿病管理系统. 这种方法优化了持续的葡萄糖监测 (CGM) 和治疗,减少试错,以获得更好的血糖控制.
科学领域:
- 生物医学工程 生物医学工程
- 生理学建模 生理学建模
- 可穿戴技术可穿戴技术
背景情况:
- 持续的葡萄糖监测 (CGM) 和按需治疗对于管理糖尿病等慢性疾病至关重要.
- 目前在闭环糖尿病系统中优化设备设计的方法是低效和经验性的.
- 预测设备设计对系统性能的影响,特别是微针 (MN) 集成,仍然是一个挑战.
研究的目的:
- 引入基于物理学的框架,将微针 (MN) 设计用于传感和治疗,与血糖控制的生理模型相结合.
- 建立材料,化学和几何 MN 特性和关键性能指标之间的紧密关系.
- 通过将设备设计与系统行为联系起来,创建血糖调节的预测模型.
主要方法:
- 开发了一个基于物理的框架,包括微针 (MN) 设计用于传感和治疗.
- 为三个感知MN类型 (空洞,多孔/可膨胀,纳米结构) 和一个治疗贴片制定了理论.
- 整合了MN理论与生理模型来预测血糖调节.
主要成果:
- 该框架建立了MN设计特征和性能指标 (如响应时间和胰岛素递送率) 之间的关系.
- 模拟检查了疾病进展,MN设计和MN敏感性对葡萄糖水平和时间范围的影响.
- 证明了框架能够预测血葡萄糖水平和时间范围内的指标的能力.
结论:
- 基于物理的框架为糖尿病管理中的数字双胞胎提供了基础.
- 这种方法简化了微针 (MN) 补丁设计,用于下一代CGM技术.
- 尽量减少血糖事件,减少开发糖尿病管理设备的试错.
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