NSF/FDA SiR: Pulse Oximetry Measurement Errors Correlated with Patient Skin Pigmentation: Optical Mechanisms and Effect Multipliers

NSF/FDA SiR：与患者皮肤色素沉着相关的脉搏血氧饱和度测量误差：光学机制和效应乘数

• 批准号: 2229356
• 负责人: Xiaohui Zhang
• 金额: $ 20万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229356&HistoricalAwards=false
• 关键词: NSF; FDA; SiR; Pulse; Oximetry

Pulse oximeters are powerful and inexpensive devices commonly used for early detection of health problems and monitoring of treatment. However, studies have shown that patient skin pigmentation levels can affect the measurement accuracy. A better understanding of the underlying mechanisms will help the refinement of instrumentation and algorithms to improve the device performance. Computational modeling will be used to simulate light propagation in adult finger tissue and investigate the impact of different biological and device design factors on device performance. Laboratory measurements of tissue-mimicking models will be performed to validate the computational model under well-controlled conditions. Such effective, least-burdensome evaluation of device performance has the potential to lead to improvements in clinical performance that will impact patients undergoing surgical procedures, anesthesia, and other critical conditions. Furthermore, the planned research will be seamlessly integrated with educational, mentoring, and outreach activities to advance the cross-disciplinary program in the field of Biomedical Optics and Regulatory Sciences. This project aims to develop and validate a series of test methods for pulse oximetry. The components of this work include: (1) Fabricating physical models with biologically relevant properties of adult fingers (e.g., epidermal layers with different pigmentation levels, bio-mimetic microvascular networks, and mock cardiovascular flow loop with tunable oxygenation to generate real-time physiological flow/pressure waveforms); (2) Developing in silico models of adult fingers of different sizes and performing Monte Carlo simulations to elucidate light-tissue interactions in pulse oximetry; and (3) Validating computational models using spectroscopic measurements in finger-simulating physical models, and investigating effects of epidermal melanin content along with other biological factors (e.g., perfusion level, finger size) and device characteristics (e.g., source bandwidth, sensor reflectivity) on key light-tissue interaction parameters, as well as on estimated oxygen saturation measurement accuracy. This project will provide extensive insights into the factors influencing quantitative accuracy of pulse oximetry.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

脉搏血氧仪是功能强大且廉价的设备，通常用于早期发现健康问题和监测治疗。但是，研究表明，患者皮肤色素沉着水平会影响测量准确性。更好地了解基本机制将有助于改进仪器和算法，以改善设备性能。计算建模将用于模拟成人手指组织中的光传播，并研究不同生物和设备设计因子对设备性能的影响。将对模拟组织模型进行实验室测量，以在良好的控制条件下验证计算模型。对设备性能的这种有效，最小的评估有可能改善临床性能，这将影响接受手术程序，麻醉和其他关键病的患者。此外，计划的研究将与教育，指导和外展活动无缝融合，以推进生物医学光学和监管科学领域的跨学科计划。该项目旨在开发和验证一系列用于脉搏血氧仪的测试方法。这项工作的组成部分包括：（1）制造具有成人手指的生物学相关特性的物理模型（例如，具有不同色素沉着水平的表皮层，生物模拟的微血管网络以及具有可调的氧合的模拟心血管流动环，以产生实时的实时物理压力流量/）； （2）在不同大小的成年手指的硅模型中发展，并进行蒙特卡洛模拟，以阐明脉搏血氧仪中的光组织相互作用； （3）使用光谱测量在手指模拟的物理模型中验证计算模型，并研究表皮黑色素含量的影响以及其他生物学因素（例如，灌注水平，手指尺寸）和设备特征（例如，源带宽，传感器反射率，传感器反射率）对关键光线相互作用的交互作用量度的估算，以及估算的估算。该项目将提供有关影响脉搏血氧仪定量准确性的因素的广泛见解。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。