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

基本信息

  • 批准号:
    2050062
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-02-01 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this I-Corps project is the ability to monitor respiration using a low-cost and non-contact sensing method. Studies show that real-time health monitoring devices will reach a market value of over $65 billion by 2022. Given the high prevalence of lifestyle-associated disorders, long-term continuous monitoring of physiological parameters becomes important for many healthcare cases such as apnea and for human-computer-interaction applications. The anticipated benefits of the technology in the current COVID-19 outbreak include, but are not limited to, helping to reduce the load of current (expensive and limited) respiration monitoring medical equipment, being deployable in open-spaces and being highly desirable for the drastically increasing numbers of COVID-19 patients. Further, since respiration monitoring is a ubiquitous element of medicine, this work may also impact the entire health care community, from patients in their homes, to doctor’s offices, to large medical institutions and industries. This I-Corps project involves the technological advancement required to enable the proposed low-cost and non-contact respiration sensing method. This method represents a substantial departure from traditional approaches to wireless respiration monitoring and is poised to make significant contributions in this area. The proposed technology is timely given the critical worldwide impact of COVID-19. The proposed solution is adequately deployable in home environments (e.g. living rooms) and hospitals, etc. to remotely monitor respiration for COVID-19 screening and prognosis. The proposed approach allows very low-cost, safe, easy, continuous, and non-obtrusive gathering of respiration data — a critical input for cost-effective and proactive treatment and management of subjects with COVID-19 and other chronic respiratory conditions. This project will allow the team to better understand the unmet needs by conducting customer discoveries and interviews, develop a viable business model, and learn the desired features for developing a compelling minimum viable product.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.
更广泛的影响/商业化的使用和非成本传感方法的呼吸能力表明,实时的健康监测设备将实时实时实时达到650亿美元到2022年,鉴于与生活方式相关的疾病的高度流行,呼吸暂停案件和人类计算申请。呼吸监测的医疗设备在开放空间中爆炸,并且对增加的covid-19患者的多重态度是无处不在的医学元素。这项I-Corps Project Technolololves启用了低成本和收缩的方法。呼吸数据 - 具有COVID -19的呼吸条件的受试者的成本信任和管理的关键投入。最低的Viard产品。该奖项反映了NSF'Sf'story Ion,并被认为是值得通过Teundation的知识分子优点和更广泛影响的评论标准的评估值得支持的。

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:
    $ 5万
  • 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:
    $ 5万
  • 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:
    $ 5万
  • 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:
    2008556
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 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:
    $ 5万
  • 项目类别:
    Standard Grant

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I-Corps: A Low-cost and Non-contact Respiration Monitoring Method for COVID-19 Screening and Prognosis
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