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

基本信息

  • 批准号:
    2008556
  • 负责人:
  • 金额:
    $ 14万
  • 依托单位:
  • 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

项目摘要

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,需要谨慎监测人类的呼吸和心率。 监测应用包括警告疲劳的驾驶员或飞行员、虚拟现实或游戏的主动反馈、焦虑监测、安全筛查以及针对睡眠呼吸暂停、呼吸急促、心动过速和心动过缓的健康监测。 该项目研究了一种使用光监测呼吸和心率的谨慎、非接触式方法。 从概念上讲,从对象反射的光强度遵循与呼吸和心跳相关的微妙身体运动,从而能够提取速率。该方法提供了高隐私性和零无线电干扰风险,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。除了技术兴趣之外,该项目还将为下一代工程师和科学家提供独特的教育机会,包括课程模块以及培训和外展。 这项工作将利用光传感和通信套件进行推广工作,学生可以通过 OSU Summer Bridge 或 Discovery Days 等项目构建自己的低成本、便携式、基于光的无线通信系统,这是一项非常成功的激发兴趣的活动和招聘。 PI 将继续致力于通过 OK Louis Stokes 少数族裔参与联盟计划来指导代表性不足的学生。这项工作的目标是确定光波呼吸和心率监测的极限,作为光源强度、波长、环境照明、光电探测器、范围、服装和光学布局的函数。 将建造一个类人机器人,并覆盖人造皮肤和多种衣物。 使用由微控制器控制的执行器,它将准确地模拟人类在呼吸期间产生的运动。 将在受控条件下系统地测量不同的照明条件、光源、光学布局和视野、服装类型、主体位置/方向和致动器模式,以确定对系统信噪比的影响。 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从嘈杂的环境条件中提取速率的效果如何。所得数据将为开发传感器性能的理论模型奠定基础。重要的是,它还将揭示关于信息内容的局限性的重要科学,这些信息内容可以通过现代光电探测器技术的简单散射和强度测量来传达。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和能力进行评估,被认为值得支持。更广泛的影响审查标准。

项目成果

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Sabit Ekin其他文献

Sabit Ekin的其他文献

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{{ truncateString('Sabit Ekin', 18)}}的其他基金

Collaborative Research: SpecEES: Designing A Spectrally Efficient and Energy Efficient Data Aided Demand Driven Elastic Architecture for future Networks (SpiderNET)
合作研究:SpecEES:为未来网络设计频谱效率高、能源效率高的数据辅助需求驱动弹性架构 (SpiderNET)
  • 批准号:
    2323300
  • 财政年份:
    2023
  • 资助金额:
    $ 14万
  • 项目类别:
    Standard Grant
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:
    2323301
  • 财政年份:
    2023
  • 资助金额:
    $ 14万
  • 项目类别:
    Standard Grant
I-Corps: A Low-cost and Non-contact Respiration Monitoring Method for COVID-19 Screening and Prognosis
I-Corps:一种用于 COVID-19 筛查和预后的低成本、非接触式呼吸监测方法
  • 批准号:
    2336852
  • 财政年份:
    2023
  • 资助金额:
    $ 14万
  • 项目类别:
    Standard Grant
I-Corps: A Low-cost and Non-contact Respiration Monitoring Method for COVID-19 Screening and Prognosis
I-Corps:一种用于 COVID-19 筛查和预后的低成本、非接触式呼吸监测方法
  • 批准号:
    2050062
  • 财政年份:
    2021
  • 资助金额:
    $ 14万
  • 项目类别:
    Standard Grant
Collaborative Research: SpecEES: Designing A Spectrally Efficient and Energy Efficient Data Aided Demand Driven Elastic Architecture for future Networks (SpiderNET)
合作研究:SpecEES:为未来网络设计频谱效率高、能源效率高的数据辅助需求驱动弹性架构 (SpiderNET)
  • 批准号:
    1923295
  • 财政年份:
    2019
  • 资助金额:
    $ 14万
  • 项目类别:
    Standard Grant

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