EAGER: Origami-Based, Shape-Adaptive, Skin-Like Wireless Sensors for Monitoring COVID-19 Patients in Field Hospitals

EAGER:基于折纸、形状自适应、类肤无线传感器,用于监测野战医院中的 COVID-19 患者

基本信息

  • 批准号:
    2343021
  • 负责人:
  • 金额:
    $ 26.5万
  • 依托单位:
  • 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:
    2023-08-01 至 2024-05-31
  • 项目状态:
    已结题

项目摘要

The COVID-19 pandemic has put the public health in great risks, among which the shortage of medical spaces and facilities has significantly curtailed disease control and resulted in higher fatality rate. Deploying field hospitals such as makeshift stadiums and medical tents has been adopted worldwide to mitigate this issue. However, the nature of simple field hospitals and the scarce medical resources in a pandemic make them largely underequipped and understaffed. Therefore, it is challenging to closely monitor the patients in temporary field hospitals, posing threats to those who may experience rapid symptom progression and health deterioration. This project will address this challenge by advancing the fundamental knowledge of design and fabrication to realize skin-like, wireless, battery-free sensors that can be quickly and easily implemented in the environments of field hospitals. The envisioned sensors will be adaptable to a wide range of body shapes and capable of closely monitoring temperature, coughing, and breathing of COVID-19 patients without interference with their daily living. They can also be used in regular hospitals where the medical instruments are insufficient or at home for patients under self-isolation. Overall, this project will explore an engineering pathway to respond to the pressing societal challenges in COVID-19 pandemic. This project will include a “We Are. We Care” educational outreach plan to cultivate students’ passion for engineering innovation to address societal challenges. Undergraduate students will be involved in this research. High school students will be engaged as well through hands-on workshops where they will experience how and why engineering research can impact society and save lives.The objective of this project is to advance the knowledge of design and fabrication of flexible electronics to realize skin-like devices capable of continuously monitoring the vital health signals of COVID-19 patients in temporary field hospitals, where conventional healthcare instruments are insufficient or unavailable. The devices will employ near-field communication technology to achieve wireless, battery-free sensing of breathing, coughing, and body temperature. To achieve the objective, the PI will use a network of collaborative, high-sensitive strain sensors to realize motion-blind breathing and coughing detection. The PI will leverage deployable origami designs to achieve ultra-high shape adaptability to fit with a wide range of body sizes without customization. This origami-based approach will greatly advance flexible electronics from the current paradigm of local skin integration to a transformative, “one-size-fits-all” shape adaptability. Sophisticated finite element analyses and mechanical testing will ensure the integrity of devices. Operation of the envisioned devices in models of conventional field hospitals and a new concept of fast-deployable origami hospital will be demonstrated to show the efficacy of the devices. This project centers on innovations of flexible electronics and draws inspirations from other disciplines such as aerospace engineering to advance the field of flexible electronics. Overall, this project will address the gaps between the state-of-the-art wireless, battery-free epidermal electronics and the needs for advanced health monitoring sensors in underequipped, understaffed medical spaces and facilities.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.
共同的19日大流行使公共卫生面临很大的风险,其中医疗空间和设施的短缺极大地减少了疾病的控制,并导致了更高的死亡率。部署临时体育场和医疗帐篷等现场医院已在全球范围内采用,以减轻此问题。但是,简单的野外医院的性质和大流行中稀缺的医疗资源使它们在很大程度上不足和理解。因此,要密切监测临时野外医院的患者,对可能会出现快速症状进展和确定健康确定的人构成威胁,这是挑战。该项目将通过推进设计和制造的基本知识来实现​​皮肤般,无线,无电池的传感器来解决这一挑战,这些传感器可以在现场医院的环境中快速而轻松地实现。设想的传感器将适应各种体形,并能够密切监测COVID-19患者的温度,沙发和呼吸,而不会干扰他们的日常生活。它们也可以用于医疗器械不足的常规医院,也可以用于自我分离的患者。总体而言,该项目将探索一种工程途径,以应对Covid-19-19大流行的紧迫社会挑战。该项目将包括一个“我们是。我们关心”教育外展计划,以培养学生对工程创新的热情,以应对社会挑战。本科生将参与这项研究。高中生将通过动手实践研讨会来参与其中,他们将体验如何以及为什么工程研究可以影响社会和挽救生命。该项目的目的是提高柔性电子设备的设计和制造知识,以实现能够在临时野外医院中持续监测COVID-19患者的重要健康信号的皮肤般的设备,而常规医院的临时医疗机构是常规医疗机构的不利或不满意的。这些设备将采用近场通信技术来实现无线,无电池呼吸,沙发和体温的灵敏度。为了实现目标,PI将使用协作,高敏感性应变传感器网络来实现运动盲呼吸和咳嗽检测。 PI将利用可部署的折纸设计来实现超高形状的适应性,以适应无定制的各种体型。这种基于折纸的方法将极大地将灵活的电子设备从当前的本地皮肤整合范式提高到变革性的“单一尺寸合适”形状适应性。复杂的有限元分析和机械测试将确保设备的完整性。将在传统野外医院的模型中运行设备的设备以及可快速折纸医院的新概念,以显示设备的效率。该项目以灵活电子设备的创新为中心,并从其他学科(例如航空航天工程)中汲取灵感,以推动灵活电子产品的领域。总体而言,该项目将解决最先进的无线,无电池的表皮电子产品以及在尚未quated不平的,理解的医疗空间和设施中对先进健康监测传感器的需求。该奖项反映了NSF的法定任务,并通过评估该基金会的知识分子优点和广泛的影响来评估NSF的法定任务。

项目成果

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Xin Ning其他文献

A Novel Hyperspectral Image Classification Model Using Bole Convolution with Three-Directions Attention Mechanism: Small sample and Unbalanced Learning
一种基于三向注意力机制的伯乐卷积的新型高光谱图像分类模型:小样本和不平衡学习
Three decades of progress in China’s space High-Tech Program empowered by modern astrodynamics
现代天体动力学赋能中国航天高技术事业三十年历程
  • DOI:
    10.1016/j.reach.2017.01.001
  • 发表时间:
    2017-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jianping Yuan;Yang Yu;Yang Gao;Hengnian Li;Weihua Ma;Xin Ning;Geshi Tang;Yong Shi;Chong Sun;Xingsuo He;Shouhua Zhang;Hexi Baoyin
  • 通讯作者:
    Hexi Baoyin
Analysis on the Attitude Dynamics of a PhoneSat during Deployment
PhoneSat部署过程中的姿态动态分析
PLA/AgNPs fiber aerogels and its investigation into their antibacterial properties
  • DOI:
    10.1016/j.molstruc.2024.139189
  • 发表时间:
    2024-12-05
  • 期刊:
  • 影响因子:
  • 作者:
    Naveed Iqbal;Wenping Tan;Qian Zhang;Danish Iqbal;Md. Ikram Hossen;Guanxian Dou;Xin Ning;Jinfa Ming
  • 通讯作者:
    Jinfa Ming
Weighted Algebraic Connectivity Maximization for Optical Satellite Networks
光卫星网络的加权代数连通性最大化
  • DOI:
    10.1109/access.2017.2697818
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Zheng Yongxing;Zhao Shanghong;Liu Yun;Li Yongjun;Tan Qinggui;Xin Ning
  • 通讯作者:
    Xin Ning

Xin Ning的其他文献

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{{ truncateString('Xin Ning', 18)}}的其他基金

EAGER: Origami-Based, Shape-Adaptive, Skin-Like Wireless Sensors for Monitoring COVID-19 Patients in Field Hospitals
EAGER:基于折纸、形状自适应、类肤无线传感器,用于监测野战医院中的 COVID-19 患者
  • 批准号:
    2030579
  • 财政年份:
    2020
  • 资助金额:
    $ 26.5万
  • 项目类别:
    Standard Grant

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