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的光电传感器，当附着在皮肤上时，可以使用柔性和生物相容性薄膜连续和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）在生物相容性基底上开发喷墨印刷的光电器件。有机光电器件如OLED、OLEC、OPD和OFFERS将通过在生物相容性基底上喷墨印刷来开发。类皮肤生物相容性基板将进行研究和优化。功能性光电材料将被设计成可印刷的。将制造和表征光电元件，并研究印刷参数对器件性能的影响。(2)优化反射模式光电容积描记（PPG）传感单元的开发。本论文将探讨多个光电子元件在单一基板上的单片集成制程。OPD将垂直集成到OFFEST上，以最大限度地提高光检测灵敏度。一个喷墨打印的反射模式PPG传感单元将被证明。几何参数，如器件尺寸，形状和布局将被优化，以实现最佳的信号采集，这是一个实现个性化的过程。(3)血压监测系统的研制。将演示利用传感单元矩阵的PPG信号的时空映射以获得最佳阅读。将通过在不同感知位置采集PPG信号并计算速度来估计BP。身体上的传感位置将被精确地调查，以提高准确性。最后，一个打印的皮肤附着系统，可以监测血压非侵入性和连续将被证明。

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.