SCH: INT: Opioid Overdose Detection and Reversal Using Sensors and Mobile Devices

SCH:INT:使用传感器和移动设备进行阿片类药物过量检测和逆转

基本信息

  • 批准号:
    1914873
  • 负责人:
  • 金额:
    $ 99.49万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

The project aims to make significant inroads into addressing the national emergency of opioid overdose in the United States using technology. At high doses, opioids can cause rapid cessation of breathing, respiratory failure and death, the physiologic sequence by which people commonly succumb from unintentional opioid overdose. Unlike many life-threatening medical emergencies, however, opioid toxicity is readily reversed with rapid identification and administration of the overdose antidote naloxone. Thus, early detection and rapid intervention can prevent death from opioid overdose. This project will design and deploy solutions (i) that can detect opioid overdose by identifying its respiratory precursors and (ii) that employ an adhesive sensor that can automatically administer naloxone using an auto-injector when dangerous respiratory parameters are detected. The project will develop foundational technologies that can aid with opioid overdose detection as well as reversal using wearable sensors and mobile devices. Specifically, the proposal, if successful, would make the following technical contributions: 1) design a novel, low-barrier, harm-reduction intervention solution to track breathing in a contactless manner using active sonar in order to detect critical respiratory precursors of opioid overdose, and 2) a new wearable electronic device that is integrated with an auto-injector to deliver naloxone, the overdose antidote, after detecting respiratory parameters consistent with an opioid overdose event. The developed technologies will be tested and deployed with the target population to evaluate their efficacy. The project aims to make significant progress towards developing technology that can address the opioid crisis, using a closed loop system for identification and reversal of opioid overdose events. The team will work with existing industry collaborators to enable tech-transfer and transitioning the developed technologies to industry. The team will also reach out to an aspiring generation of engineering and medical students via K-12 classroom demonstrations as well as broad media releases. A new graduate course on mobile health will be developed that brings together computing and engineering students and students from the health sciences. Finally, smartphone demos will be showcased at DawgBytes Summer Camps and the University of Washington's Women's Initiative that encourage a diverse new generation of students to major in computer science, including women in middle and high schools.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.
该项目旨在使用技术重大解决美国全国阿片类药物过量的紧急情况。在高剂量下,阿片类药物会引起呼吸,呼吸衰竭和死亡的快速停止,这是人们通常会因无意的阿片类药物过量而屈服的生理序列。然而,与许多威胁生命的医学紧急情况不同,阿片类药物毒性很容易通过快速识别和服用过量解毒剂纳洛酮而逆转。因此,早期检测和快速干预可以防止阿片类药物过量死亡。该项目将设计和部署解决方案(i),可以通过识别其呼吸前体和(ii)使用粘合剂传感器来检测阿片类药物过量的方法,该粘合剂传感器可以在检测到危险的呼吸参数时使用自动注射器自动使用纳洛酮自动管理纳洛酮。 该项目将开发基础技术,可以帮助使用可穿戴传感器和移动设备进行阿片类药物过量检测以及逆转。 Specifically, the proposal, if successful, would make the following technical contributions: 1) design a novel, low-barrier, harm-reduction intervention solution to track breathing in a contactless manner using active sonar in order to detect critical respiratory precursors of opioid overdose, and 2) a new wearable electronic device that is integrated with an auto-injector to deliver naloxone, the overdose antidote, after detecting respiratory parameters consistent与阿片类药物过量事件一起。开发的技术将在目标人群中进行测试和部署,以评估其功效。该项目旨在使用封闭的环路系统来识别和逆转阿片类药物过量事件,以开发可以解决阿片类药物危机的技术的重大进展。该团队将与现有的行业合作者合作,使技术转移并将开发的技术过渡到行业。该团队还将通过K-12课堂演示以及广泛的媒体发行来接触有抱负的工程和医学生。将开发一项新的有关移动健康的研究生课程,从而将来自健康科学的计算机和工程专业的学生汇集在一起​​。最后,智能手机演示将在Dawgbytes夏令营和华盛顿大学的女性倡议中展示,鼓励新一代新一代学生参加计算机科学专业的专业,包括中学和高中的女性。这一奖项反映了NSF的法定任务,并通过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

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Considerations for Assessing Risk of Provider Exposure to SARS-CoV-2 after a Negative Test
阴性检测后评估提供者接触 SARS-CoV-2 风险的注意事项
  • DOI:
    10.1097/aln.0000000000003392
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    8.8
  • 作者:
    Long, Dustin R.;Sunshine, Jacob E.;Van Cleve, Wil
  • 通讯作者:
    Van Cleve, Wil
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Shyamnath Gollakota其他文献

Wireless earbuds for low-cost hearing screening
用于低成本听力筛查的无线耳塞
ARTIFICIAL INTELLIGENCE-ENABLED PREDICTION OF ATRIAL FIBRILLATION EVENTS USING MOBILE ELECTROCARDIOGRAMS
  • DOI:
    10.1016/s0735-1097(22)03045-5
  • 发表时间:
    2022-03-08
  • 期刊:
  • 影响因子:
  • 作者:
    Dan Nguyen;Ananditha Raghunath;Matthew Schram;Dave Albert;Shyamnath Gollakota;Linda Shapiro;Arun Raghav Mahankali Sridhar
  • 通讯作者:
    Arun Raghav Mahankali Sridhar
Poster: Contactless Infant Monitoring using White Noise
海报:使用白噪声进行非接触式婴儿监测
Real-Time Target Sound Extraction
实时目标声音提取
Demo: TinySDR, A Software-Defined Radio Platform for Internet of Things
演示:TinySDR,物联网软件定义无线电平台

Shyamnath Gollakota的其他文献

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{{ truncateString('Shyamnath Gollakota', 18)}}的其他基金

CSR: Small: Transforming Mobile Devices into Active Sonar Systems for Medical Applications
CSR:小:将移动设备转变为医疗应用的主动声纳系统
  • 批准号:
    1812559
  • 财政年份:
    2018
  • 资助金额:
    $ 99.49万
  • 项目类别:
    Standard Grant
NeTS: Small: MegaIoT: Enabling Thousands of Concurrent Transmissions in Low-Power Networks
NeTS:小型:MegaIoT:在低功耗网络中实现数千个并发传输
  • 批准号:
    1812554
  • 财政年份:
    2018
  • 资助金额:
    $ 99.49万
  • 项目类别:
    Standard Grant
CAREER: Internet Connectivity for the Next Billion Devices
职业:未来十亿设备的互联网连接
  • 批准号:
    1452494
  • 财政年份:
    2015
  • 资助金额:
    $ 99.49万
  • 项目类别:
    Continuing Grant
NeTS: Medium: Networking Out of Thin Air
NeTS:媒介:凭空建立网络
  • 批准号:
    1407583
  • 财政年份:
    2014
  • 资助金额:
    $ 99.49万
  • 项目类别:
    Continuing Grant
CSR: Small: Wireless Systems as Gesture Sensors
CSR:小型:作为手势传感器的无线系统
  • 批准号:
    1420654
  • 财政年份:
    2014
  • 资助金额:
    $ 99.49万
  • 项目类别:
    Standard Grant

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    Discovery Grants Program - Individual
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