Robinson Mitchell B, Butcher Ryan J, Wilson Mark A, Ericson M Nance, Coté Gerard L
Texas A&M University, Optical Biosensing Lab, Biomedical Engineering, 5045 Emerging Technologies Building 3120 TAMU, College Station 77843, USA.
University of Pittsburgh, Department of Surgery, 200 Lothrop Street, Pittsburgh, Pennsylvania 15213, USA.
Biomed Opt Express. 2017 Jul 19;8(8):3714-3734. doi: 10.1364/BOE.8.003714. eCollection 2017 Aug 1.
The quantification of visceral organ oxygenation after trauma-related systemic hypovolemia and shock is critical to enable effective resuscitation. In this work, a photoplethysmography-based (PPG) sensor was specifically designed for probing the perfusion and oxygenation condition of intestinal tissue with the ultimate goal to monitor patients post trauma to guide resuscitation. Through Monte Carlo modeling, suitable optofluidic phantoms were determined, the wavelength and separation distance for the sensor was optimized, and sensor performance for the quantification of tissue perfusion and oxygenation was tested on the in-vitro phantom. In particular, the Monte Carlo simulated both a standard block three-layer model and a more realistic model including villi. Measurements were collected on the designed three layer optofluidic phantom and the results taken with the small form factor PPG device showed a marked improvement when using shorter visible wavelengths over the more conventional longer visible wavelengths. Overall, in this work a Monte Carlo model was developed, an optofluidic phantom was built, and a small form factor PPG sensor was developed and characterized using the phantom for perfusion and oxygenation over the visible wavelength range. The results show promise that this small form factor PPG sensor could be used as a future guide to shock-related resuscitation.
创伤相关的全身性低血容量和休克后内脏器官氧合的量化对于实现有效的复苏至关重要。在这项工作中,专门设计了一种基于光电容积脉搏波描记法(PPG)的传感器,用于探测肠道组织的灌注和氧合状况,最终目标是监测创伤后患者以指导复苏。通过蒙特卡罗建模,确定了合适的光流体模型,优化了传感器的波长和分离距离,并在体外模型上测试了传感器对组织灌注和氧合进行量化的性能。特别是,蒙特卡罗模拟了一个标准的块状三层模型和一个更逼真的包括绒毛的模型。在设计的三层光流体模型上进行了测量,使用小型PPG设备获得的结果表明,与更传统的较长可见波长相比,使用较短可见波长时性能有显著提高。总体而言,在这项工作中,开发了一个蒙特卡罗模型,构建了一个光流体模型,并开发了一种小型PPG传感器,并用该模型对其在可见波长范围内的灌注和氧合特性进行了表征。结果表明,这种小型PPG传感器有望作为未来休克相关复苏的指导工具。