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PC3: Collaborative Research: Foundation for Trusted and Scalable Mobile Healthcare

PC3: Collaborative Research: Foundation for Trusted and Scalable Mobile Healthcare
PC3:协作研究:可信且可扩展的移动医疗保健的基础
批准号:
1143644
负责人:
Ashutosh Sabharwal
金额:
$15.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2014-08-31

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中文摘要
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英文摘要
This award provides funding for a collaborative project between Dartmouth College, Rice University and the Indian Institute of Technology in New Delhi. Soon, technology for mobile health (mHealth) will enable individuals to wear one or more sensing devices to better monitor their health conditions, or enable rural health workers to make periodic visits to villages that may not have access to routine healthcare services. The investigators in this project are developing the scientific foundations for a modular kit of mHealth components -- portable, inexpensive, and usable by patients or healthcare workers with limited training -- that can be assembled into a variety of combinations for different circumstances or healthcare purposes. Scientifically, they are addressing two fundamental questions: (1) how to construct secure, self-aware sensors that can attest to the provenance of the sensor data and its context; (2) how to design a system for computational triage that can provide real-time on-site feedback to the patient, avoiding the need for every patient visit, every data point, to be examined by skilled health professionals. The intellectual merit of this project is in (1) developing a new breed of portable medical sensors with the intelligence to identify and securely attest to the origin and quality of the data, and (2) developing computational triage algorithms that guide individual subjects to a medical facility when tests reveal a high chance of potential health problems. The research should result in broader impacts including (1) technology that could radically improve preventive health, (2) students trained on healthcare technologies in a wider global context, and (3) technologies that will have applications beyond healthcare, such as in critical infrastructure monitoring. This project is part of the Pervasive Communications and Computing Collaboration (PC3) initiative.
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Collaborative Research: CNS Core: Large: 4D100: Foundations and Methods for City-scale 4D RF Imaging at 100+ GHz
  • 批准号:
    2215082
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.0万
  • 财政年份:
    2022
  • 负责人:
    Ashutosh Sabharwal
  • 依托单位:
Collaborative Research: CNS Core: Medium: Information Freshness in Scalable and Energy Constrained Machine to Machine Wireless Networks
  • 批准号:
    2106993
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2021
  • 负责人:
    Ashutosh Sabharwal
  • 依托单位:
Collaborative Research: CCRI: New: RFDataFactory: Principled Dataset Generation, Sharing and Maintenance Tools for the Wireless Community
  • 批准号:
    2120363
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.0万
  • 财政年份:
    2021
  • 负责人:
    Ashutosh Sabharwal
  • 依托单位:
Collaborative Research: Computational Photo-Scatterography: Unraveling Scattered Photons for Bio-Imaging
  • 批准号:
    1730574
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $501.34万
  • 财政年份:
    2018
  • 负责人:
    Ashutosh Sabharwal
  • 依托单位:
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