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Modeling Fabrication and Integration of Wearable Smart Sensors in a Monitoring Platform for Diabetic Patients

机译:糖尿病患者监测平台中可穿戴智能传感器的建模制造和集成

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摘要

The monitoring of some parameters, such as pressure loads, temperature, and glucose level in sweat on the plantar surface, is one of the most promising approaches for evaluating the health state of the diabetic foot and for preventing the onset of inflammatory events later degenerating in ulcerative lesions. This work presents the results of sensors microfabrication, experimental characterization and FEA-based thermal analysis of a 3D foot-insole model, aimed to advance in the development of a fully custom smart multisensory hardware–software monitoring platform for the diabetic foot. In this system, the simultaneous detection of temperature-, pressure- and sweat-based glucose level by means of full custom microfabricated sensors distributed on eight reading points of a smart insole will be possible, and the unit for data acquisition and wireless transmission will be fully integrated into the platform. Finite element analysis simulations, based on an accurate bioheat transfer model of the metabolic response of the foot tissue, demonstrated that subcutaneous inflamed lesions located up to the muscle layer, and ischemic damage located not below the reticular/fat layer, can be successfully detected. The microfabrication processes and preliminary results of functional characterization of flexible piezoelectric pressure sensors and glucose sensors are presented. Full custom pressure sensors generate an electric charge in the range 0–20 pC, proportional to the applied load in the range 0–4 N, with a figure of merit of 4.7 ± 1 GPa. The disposable glucose sensors exhibit a 0–6 mM (0–108 mg/dL) glucose concentration optimized linear response (for sweat-sensing), with a LOD of 3.27 µM (0.058 mg/dL) and a sensitivity of 21 µA/mM cm2 in the PBS solution. The technical prerequisites and experimental sensing performances were assessed, as preliminary step before future integration into a second prototype, based on a full custom smart insole with enhanced sensing functionalities.
机译:对跖表面汗液中汗液中的一些参数的监测,例如在汗水上出汗,是评估糖尿病脚的健康状况的最有希望的方法之一,并以防止炎症事件的发作后来退化溃疡性病变。这项工作介绍了传感器微型制备,实验表征和基于FEA的3D鞋底模型的热分析结果,旨在推进糖尿病脚的全定制智能多福音型硬件 - 软件监控平台的开发。在该系统中,可以通过在智能鞋底孔的八个读数点上分布的完整定制微磁体传感器同时检测温度,压力和汗基的葡萄糖水平,并将是数据采集和无线传输的单位完全集成到平台中。有限元分析模拟基于脚组织代谢反应的精确生物发热模型,证明,位于肌肉层的皮下发炎病​​变,位于网状/脂肪层的缺血性损伤,可以成功地检测。介绍了柔性压电传感器和葡萄糖传感器功能表征的微型制备方法和初步结果。完整的自定义压力传感器在0-20pc范围内产生电荷,与0-4 n范围内的施加负载成比例,具有4.7±1 GPA的值。一次性葡萄糖传感器表现出0-6mm(0-108mg / dL)葡萄糖浓度优化的线性响应(用于汗液感),含量为3.27μm(0.058mg / dl),灵敏度为21μA/ mm PBS溶液中的CM2。在未来集成到第二种原型之前,评估了技术先决条件和实验感测性能,基于具有增强的传感功能的完整定制智能鞋底。

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