CNS Core: Small: Non-contact Monitoring of Respiration and Heart Rates Through Light-wave Sensing

CNS 核心：小型：通过光波传感非接触式监测呼吸和心率

• 批准号: 2008556
• 负责人: Sabit Ekin
• 金额: $ 14万
• 依托单位: Oklahoma State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2008556&HistoricalAwards=false
• 关键词: CNS; Core; Small; Non; contact

In many health care settings there is a need to discreetly monitor respiration and heart rates in humans. The applications for monitoring include warning fatigued drivers or pilots, active feedback for virtual reality or gaming, anxiety monitoring, security screening, and health monitoring for sleep apnea, tachypnea, tachycardia, and bradycardia. This project investigates a discreet, non-contact method of using light to monitor respiration and heart rates. In concept, the intensity of light reflected from a subject follows the subtle body movements associated with breathing and heartbeat, enabling extraction of the rates. The method offers high privacy with zero risks of radio interference, but its theoretical effectiveness and accuracy are not yet clear. This project seeks to understand the fundamental limits of the technique, which will determine how well it can perform in real-world situations. Apart from the technological interest, the project will enable unique educational opportunities for next-generation engineers and scientists, including class modules as well as training and outreach. This work will use an outreach effort with light sensing and communication kits in which students, through programs like OSU Summer Bridge or Discovery Days, build their own low-cost, portable, light-based wireless communication system, a highly successful activity for stimulating interest and recruitment. The PIs will continue their commitment to mentoring underrepresented students through the OK Louis Stokes Alliance for Minority Participation program. The goal of the work is to determine the limits of lightwave respiration and heartrate monitoring as a function of source intensity, wavelength, ambient lighting, photodetector, range, clothing, and optical layout. A human-like robot will be built and covered with artificial skin and multiple clothing items. Using actuators controlled by a microcontroller, it will accurately simulate motions produced by humans during breathing. Different lighting conditions, sources, optical layouts and fields of view, clothing types, subject positions/orientations, and actuator patterns will be systematically measured in controlled conditions to determine the effects on the system signal-to-noise ratio. Signal processing algorithms will be applied to measured data to test the statistical accuracy and to determine how well rates can be extracted from noisy ambient conditions. The resulting data will provide a foundation upon which theoretical models of the sensor performance can be developed. Importantly, it will also reveal important science about the limitations of information content that can be conveyed through simple scattering and intensity measurements with modern photodetector technology.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.

在许多医疗保健环境中，有必要谨慎监测人类的呼吸和心率。 监视的申请包括警告疲劳的驱动程序或飞行员，虚拟现实或游戏的主动反馈，焦虑监测，安全筛查以及睡眠呼吸暂停，tachypnea，tachyarcardia和bradycardia的健康监测。 该项目调查了一种使用光监测呼吸和心率的谨慎的非接触方法。 从概念上讲，从受试者反射的光强度遵循与呼吸和心跳相关的微妙运动，从而可以提取速率。该方法提供了高隐私，无线电干扰风险为零，但其理论有效性和准确性尚不清楚。 该项目旨在了解该技术的基本限制，这将决定其在现实情况下的表现。除了技术兴趣外，该项目还将为下一代工程师和科学家（包括班级模块以及培训和外展）提供独特的教育机会。 这项工作将利用范围的感应和通信套件来进行外展工作，在这些套件中，学生通过OSU Summer Bridge或Discovery Days等计划，建立自己的低成本，便携式，基于轻的无线通信系统，这是一项非常成功的活动，以激发人们的兴趣和招聘。 PI将继续通过OK Louis Stokes Alliance攻读少数民族参与计划，继续致力于指导代表性不足的学生。工作的目的是确定光波呼吸和验证液监测的限制，这是源强度，波长，环境照明，光电探测器，范围，衣服和光学布局的函数。 将建造人造皮肤和多个衣服的人类机器人。 使用由微控制器控制的执行器，它将准确模拟呼吸过程中人类产生的动作。 不同的照明条件，来源，光学布局和视野，服装类型，主题位置/方向和执行器模式将在受控条件下进行系统测量，以确定对系统信号噪声比率的影响。 信号处理算法将应用于测量数据以测试统计准确性，并确定如何从嘈杂的环境条件中提取速率。最终的数据将为传感器性能的理论模型提供基础。重要的是，它还将揭示有关信息内容局限性的重要科学，这些科学可以通过现代光电探测器技术通过简单的散射和强度测量来传达。该奖项反映了NSF的法定任务，并且认为值得通过基金会的知识分子优点和更广泛的影响来通过评估来进行支持。