Safety Analysis of Body Sensor Networks

人体传感器网络的安全分析

基本信息

  • 批准号:
    1240454
  • 负责人:
  • 金额:
    $ 3.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-10-01 至 2013-09-30
  • 项目状态:
    已结题

项目摘要

This project is a collaboration under the NSF-FDA Scholar-In-Residence (SIR) program. Wireless body sensor networks (BSNs) are an emerging class of cyber-physical system (CPS) that are changing the healthcare paradigm with their ability to provide remote, continuous health and wellness monitoring. BSN technology is rapidly moving from the domain of research prototypes to commercial healthcare applications, with associated safety implications. However, because of a lack of an accepted definition of safety for BSNs and associated techniques for specifying and verifying their safety properties, manufacturers do not have guidelines for how to design BSNs to meet safety specifications, and the FDA (the primary regulatory body for these systems) is handicapped in their ability to evaluate BSNs to determine their suitability for the healthcare market. The regulatory problem is compounded by the nature of BSNs: wireless sensing, computing, and communicating devices operating in a coordinated manner to provide vital information about the physical state of a person. This project explores: (1) the development of a definition of safety properties for BSNs in light of their mobile, cyber-physical nature; (2) the development of a reference model for BSNs (termed the "generic BSN") from which specific BSN designs can be specified and instantiated and which lends itself to analysis techniques for extracting and formally verifying the instantiated design against identified safety properties. These developments will provide manufacturers with the ability to design BSNs to meet safety specifications and will enable the FDA to better evaluate such systems in an objective, repeatable, and systematic manner.
该项目是NSF-FDA常驻学者(SIR)计划下的一项合作。无线身体传感器网络(BSN)是一种新兴的网络物理系统(CP),它能够提供远程、连续的健康和健康监测,正在改变医疗保健模式。BSN技术正迅速从研究原型领域转移到商业医疗应用领域,并伴随着相关的安全影响。然而,由于缺乏公认的BSN的安全定义以及用于指定和验证其安全属性的相关技术,制造商没有关于如何设计BSN以满足安全规范的指导方针,并且FDA(这些系统的主要监管机构)在评估BSN以确定其是否适合医疗保健市场的能力方面受到限制。BSN的性质使监管问题变得更加复杂:无线传感、计算和通信设备以协调的方式运行,以提供有关个人身体状态的重要信息。本项目探索:(1)根据BSN的移动、网络物理性质,制定其安全属性的定义;(2)开发BSN的参考模型(称为“通用BSN”),从中可以指定和实例化特定的BSN设计,并有助于分析技术,以提取和正式验证所确定的安全属性的实例化设计。这些发展将使制造商能够设计符合安全规范的BSN,并使FDA能够以客观、可重复和系统的方式更好地评估此类系统。

项目成果

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John Lach其他文献

Making Meaning of “Messy” Data: Creating Clinically Useful Visualizations to Represent the Experience of Cancer Pain in the Home Setting (GP732)
  • DOI:
    10.1016/j.jpainsymman.2022.04.123
  • 发表时间:
    2022-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Virginia LeBaron;Nutta Homdee;Nyota Patel;Rachel Bennett;Nadim El-Jaroudi;Yudel Martinez Salgado;Emmanuel Ogunjirin;John Lach
  • 通讯作者:
    John Lach
Alloyed Branch History: Combining Global and Local Branch History for Robust Performance
Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach (Preprint)
从患者和家庭护理人员的角度了解癌症疼痛的经历,为家庭智能医疗系统的设计提供信息:多方法方法(预印本)
  • DOI:
    10.2196/preprints.20836
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    13.6
  • 作者:
    Virginia T. LeBaron;Rachel Bennett;Ridwan Alam;L. Blackhall;Kate Gordon;J. Hayes;Nutta Homdee;Randy Jones;Yudel Martinez;Emmanuel Ogunjirin;Tanya Thomas;John Lach
  • 通讯作者:
    John Lach
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review
用于公共卫生研究的基于可穿戴设备的自动现场进食检测方法:范围审查
  • DOI:
    10.1038/s41746-020-0246-2
  • 发表时间:
    2020-03-13
  • 期刊:
  • 影响因子:
    15.100
  • 作者:
    Brooke M. Bell;Ridwan Alam;Nabil Alshurafa;Edison Thomaz;Abu S. Mondol;Kayla de la Haye;John A. Stankovic;John Lach;Donna Spruijt-Metz
  • 通讯作者:
    Donna Spruijt-Metz

John Lach的其他文献

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{{ truncateString('John Lach', 18)}}的其他基金

2018 Connections in Smart Health Workshop
2018智慧健康连线工作坊
  • 批准号:
    1841671
  • 财政年份:
    2018
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Standard Grant
REU Site: Wireless Technologies for Health Applications
REU 网站:健康应用无线技术
  • 批准号:
    1461162
  • 财政年份:
    2015
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Standard Grant
SHB: Medium: Collaborative Research: Non-Intrusive Multi-Patient Fall-Risk Monitoring in Health Care Facilities
SHB:中:协作研究:医疗保健机构中的非侵入式多患者跌倒风险监测
  • 批准号:
    1065262
  • 财政年份:
    2011
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Standard Grant
Enhancing AFO Efficacy through Continuous, Non-Invasive Gait Assessment
通过连续、非侵入性步态评估提高 AFO 功效
  • 批准号:
    1034071
  • 财政年份:
    2010
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Multi-Scale QoS for Body Sensor Networks
协作研究:身体传感器网络的多尺度 QoS
  • 批准号:
    0901686
  • 财政年份:
    2009
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Standard Grant
CI-P: Development of Community Infrastructure for Body Sensor Network Research, Education, and Support
CI-P:身体传感器网络研究、教育和支持的社区基础设施开发
  • 批准号:
    0855197
  • 财政年份:
    2009
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Continuous, Non-Invasive Gait Analysis and Fall-Risk Assessment
合作研究:连续、非侵入性步态分析和跌倒风险评估
  • 批准号:
    0756645
  • 财政年份:
    2008
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Standard Grant
Collaborative Research: CT-T: Manufacturing Variability-based Hardware Protection Techniques
合作研究:CT-T:基于制造变异性的硬件保护技术
  • 批准号:
    0716443
  • 财政年份:
    2007
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Standard Grant
SEI: Hierarchical Dependency Graphs for Col-Space Design with Application to Leukocyte Detection and Tracking
SEI:Col 空间设计的分层依赖图及其在白细胞检测和跟踪中的应用
  • 批准号:
    0612049
  • 财政年份:
    2006
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Continuing Grant
EHS: Highly Flexible Multi-Mode Embedded Systems
EHS:高度灵活的多模式嵌入式系统
  • 批准号:
    0410526
  • 财政年份:
    2004
  • 资助金额:
    $ 3.5万
  • 项目类别:
    Continuing Grant

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