Monolithic Inkjet Printed, Skin-Attachable Optoelectronic Sensors for Continuous Blood Pressure Monitoring

该研究项目的目标是开发数字印刷光电传感器，这种传感器可以使用柔性和生物兼容的薄膜，在附着在皮肤上时连续且非侵入性地监测血压。我将通过成功实现以下目标来实现这一目标：(1)开发生物兼容基板上的喷墨打印光电子器件。有机光电子器件，如有机发光二极管、有机电致发光器件、有机光电二极管和光电二极管，将通过喷墨打印在生物兼容的衬底上开发。类似皮肤的超薄生物兼容基质将被研究和优化。功能光电材料将被设计成可打印的。我们将制作和表征光电子元件，并研究印刷参数对器件性能的影响。(2)优化反射式光体积描记(PPG)传感单元的研制。将研究多个光电子元件在单一衬底上的单片集成工艺。OPD将垂直集成到OFET上，以最大限度地提高光探测灵敏度。将演示一种喷墨打印的反射式PPG传感单元。设备大小、形状和布局等几何参数将进行优化，以实现最佳信号采集，这是一个能够实现个性化的过程。(3)血压监测系统的开发。将演示利用感测单元矩阵对PPG信号进行时空映射以获得最佳读数。通过采集不同传感位置的PPG信号并计算速度来估计BP。将对身体上的传感位置进行精确调查，以提高准确性。最后，将展示一种可非侵入性、连续监测血压的打印皮肤附着式系统。

The goal of this research project is to develop digitally printed optoelectronic sensors that can continuously and non-invasively monitor blood pressure when attached to the skin, using flexible and biocompatible films. I will achieve this by successfully realizing the following objectives: (1) Development of inkjet-printed optoelectronic devices on biocompatible substrates. Organic optoelectronic devices such as OLEDs, OLECs, OPDs, and OFETs will be developed by inkjet printing on biocompatible substrates. Skin-like ultrathin biocompatible substrates will be investigated and optimized. Functional optoelectronic materials will be engineered to become printable. The optoelectronic elements will be fabricated and characterized and the effect of printing parameters on device performance will be investigated. (2) Development of an optimized reflectance-mode photoplethysmography (PPG) sensing unit. The monolithic integration process of multiple optoelectronic components on a single substrate will be investigated. OPDs will be vertically integrated onto OFETs to maximize the light detection sensitivity. An inkjet-printed reflectance-mode PPG sensing unit will be demonstrated. Geometrical parameters such as device size, shape, and layout will be optimized to result in the optimum signal acquisition, which is a process that enables personalization. (3) Development of blood pressure (BP) monitoring system. Spatiotemporal mapping of PPG signals utilizing a matrix of sensing units will be demonstrated to obtain an optimal reading. BP will be estimated by acquiring PPG signals at different sensing positions and calculating the velocity. The sensing positions on the body will be precisely investigated to improve accuracy. Finally, a printed skin-attachable system that can monitor BP non-invasively and continuously will be demonstrated.