Reduction of Pigmentation Dependent Errors using Spectroscopic Pulse Oximetery

使用光谱脉搏血氧仪减少色素沉着相关误差

• 批准号: 10385103
• 负责人: Vikas Khurana
• 金额: $ 25.66万
• 依托单位: AIMLOXY LLC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10385103
• 关键词: Accident and Emergency department; African; Algorithms; Antibiotics; Artificial Intelligence; Bilirubin; Blood; Blood gas; Businesses; COVID-19; Car Phone; Cardiopulmonary; Clinical; Clinical Research; Clip; Collaborations; Computer software; Data; Data Analytics; Data Set; Development; Devices; Diagnosis; Diagnostics Research; Disease; Emergency Medicine; Ethnic group; Evolution; Feasibility Studies; Fingers; Foxes; Frequencies; Generations; Goals; Gold; Hypoxia; Individual; Infant; Intervention; Investigation; Laboratory Research; Lead; Light; Liquid substance; Machine Learning; Measurement; Measures; Methods; Minority; Modeling; Monitor; Morbidity - disease rate; Morphology; Multicenter Trials; Optics; Outcome; Oxygen; Oxygen saturation measurement; Patients; Pattern; Performance; Phase; Photoplethysmography; Physiologic pulse; Pigmentation physiologic function; Pigments; Pilot Projects; Plethysmography; Positioning Attribute; Pulmonary Heart Disease; Pulse Oximetry; Reporting; Resource-limited setting; Sampling; Schools; Security; Sepsis; Severity of illness; Signal Transduction; Skin; Spectrum Analysis; Study Subject; System; Techniques; Technology; Time; Tissues; Universities; University Hospitals; Validation; Vertebral column; Work; artificial intelligence algorithm; base; clinical decision-making; clinical diagnosis; design; ethnic minority; experience; health care disparity; heart rate variability; human subject; improved; machine learning algorithm; machine learning model; machine learning prediction; mortality; multi-ethnic; new technology; next generation; novel; optical sensor; phase 2 study; prevent; prototype; racial disparity; racial minority; rapid diagnosis; research clinical testing; screening; sensor; sensor technology; skin color; temporal measurement; tool

PROJECT SUMMARY/ ABSTRACT Pulse oximetry is a powerful clinical tool for clinical evaluation of patients with cardiopulmonary compromise, however, multiple clinical studies have indicated pulse oximetry suffers from overestimation errors in darkly pigmented individuals, which is a critical mistake in screening for a cardiopulmonary disease, including COVID- 19, and could contribute to reports of outcome disparities in ethnic minorities. Aimloxy, LLC has been developing proprietary hardware and firmware for High Frequency Pulse Sensing Technology (HF-PST), which represents a next-generation evolution of photoplethysmography (PPG) pulse sensing technologies, which have conventionally served as the backbone of pulse oximetry. The Optical Diagnostic Research Laboratory (ODRL) at Temple University is involved in the development of optical sensing technologies for low-resource settings and has developed mobile-phone based technologies that include strategies for reducing pigmentation dependent inaccuracy in transcutaneous sensing of bilirubin levels in African-origin infants. The ODRL, Aimloxy, along with collaborators from Temple University Hospital’s Department of Emergency Medicine and Fox School of Business’ Center for Data Analytics will team together to perform initial development and benchtop characterization of a next-generation high frequency spectroscopic pulse oximeter capable of reducing pigmentation dependent errors in PPG and oximetry signals, conduct an initial human subjects feasibility study on a multi-ethnic population, and incorporate refined machine learning algorithms to improve measurement accuracy in pigmented individuals. The successful completion of this phase I proposal will set the stage for a full-scale study in phase II to develop a commercial prototype and perform multicenter trials to characterize accuracy and compare performance against traditional techniques in darkly pigmented individuals, ultimately helping reduce healthcare disparities in racial minorities.

项目摘要/摘要 脉搏血氧饱和度是一种强大的临床工具，用于对心肺损害患者的临床评估， 但是，多次临床研究表明脉搏血氧饱和度遭受黑暗的高估误差 养猪的个体，这是筛查心肺疾病的关键错误，包括COVID- 19，可能有助于少数民族的结果差异的报道。 Aimloxy，LLC一直在发展 高频脉冲传感技术（HF-PST）的专有硬件和固件，代表 光杀解物学（PPG）脉冲传感技术的下一代演变，该技术具有 通常用作脉搏血氧饱和度的骨干。光学诊断研究实验室（ODRL） 在坦普尔大学，参与了用于低资源环境的光学传感技术的开发 并开发了基于移动电话的技术，包括减少色素沉着的策略 胆红素水平在非洲 - 原始婴儿的经皮敏感性方面的依赖性不准确。 odrl，aimloxy， 与坦普尔大学医院急诊医学系和福克斯学校的合作者一起 业务数据分析中心将共同执行初步开发和台式 下一代高频光谱脉冲氧的表征能够减少 PPG和血氧仪信号中的色素沉着依赖性误差，进行最初的人类受试者可行性研究 在多种族的人群中，并结合了精制的机器学习算法以改进测量 小猪个体的准确性。该阶段I提案的成功完成将为 在第二阶段的全尺度研究以开发商业原型并执行多中心试验以表征 准确性和比较性能与黑暗猪的个体中的传统技术，最终 帮助减少少数族裔的医疗保健分配。