Real-Time Non-Contact Sensing of Variations in Cardiorespiratory Volume

实时非接触式感测心肺容量变化

基本信息

  • 批准号:
    1160326
  • 负责人:
  • 金额:
    $ 29.94万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-09-01 至 2016-08-31
  • 项目状态:
    已结题

项目摘要

Lubecke1160326Doppler radar has the potential to provide a convenient, safe, non-contact approach to the measurement of volume associated with cardiopulmonary function. This may transform the way vital signs related to blood pressure and ventilation are monitored in medical diagnostic and prognostic applications. Current conventional methods of monitoring ventilation are either uncomfortable (spirometer, thermistors) or inaccurate (impedance, ECG RSA measurements), and are implemented only briefly in cases of critical need, if at all. Current pulse pressure and stroke volume assessments are typically invasive catheter measurements, done routinely for only some ICU patients, or non-continuous spot-checks where a health care giver administers a disruptive pneumatic-cuff based measurement. These contact methods can also alter the measured quantities. Previous success with non-contact radar measurements of cardiopulmonary activity have been limited to rate assessment, because of technological challenges associated with accurate quantitative characterization of the displacement of the human torso under real-life conditions. The key to transcending challenges to making non-invasive volume assessment possible lies in the study of smart precision monitoring systems that can isolate measurement variations caused by environmental circumstances from those caused by actual cardiopulmonary activity.Intellectual Merit: We propose a three-year collaborative effort between the University of Hawaii at Manoa?s Electrical Engineering Department and John A. Burns School of Medicine, to conduct fundamental research exploring radar methods for continuous non-contact assessment of cardiorespiratory volume for sedentary human subjects. The findings could result in biosensing systems that are sensitive to medically significant changes in cardiopulmonary volume, while remaining discriminative and robust with respect to biometric variations between subjects and changes in subject position. The proposed effort will advance knowledge in both radar measurement of physiology and the understanding of human cardiopulmonary function. It will also support potential technological breakthroughs at their intersection, including new diagnostic techniques. The particular strength of our team is the combination of Doppler radar (Lubecke, Boric-Lubecke), and non-invasive cardiology expertise (Seto). Recent work by the PI?s on Doppler cardiopulmonary sensing has resulted in over 70 papers, a book chapter and a book under contract, 14 invention disclosures, 4 patent applications, and an emerging technology award. In related work, graduate students working with the PI?s have earned recognition and awards in four student paper competitions at major IEEE conferences.Broader Impact: Outcomes of this project can lead to valuable tools beneficial to society in life-science, healthcare, emergency response, and security/military operations. The research poses a motivating educational opportunity that leverages Hawaii?s unique needs for remote healthcare tools, and reaches out to a diverse population of ethnic minority students that have been historically underserved by local educational and industrial opportunities. Research outcomes will be integrated with education through training a new generation of engineers with the awareness of biosensors issues through courses (biomedical and sensors courses), undergraduate research projects, and K-12 STEM outreach activities. Our results will be disseminated broadly through scientific publications and seminars, public lectures, and K-12 outreach, including STEM days, school visits, and summer programs. This research represents Broadening Participation as it encourages participation by minority students, and includes individuals from underrepresented groups (Hispanic PI, and female Co-PI) from an EPSCoR state.
Lubecke 1160326多普勒雷达有可能提供一种方便、安全、非接触的方法来测量与心肺功能相关的容积。这可能会改变在医疗诊断和预后应用中监测与血压和通气相关的生命体征的方式。当前常规的监测通气的方法要么不舒服(肺活量计、变阻器),要么不准确(阻抗、ECG RSA测量),并且仅在关键需要的情况下(如果有的话)短暂地实施。目前的脉压和每搏输出量评估通常是侵入性导管测量,仅对一些ICU患者进行常规测量,或者是非连续抽查,其中医疗保健提供者管理破坏性的基于袖带的测量。这些接触方法也可以改变测量的量。以前的成功与心肺活动的非接触式雷达测量已被限制到率评估,因为与准确的定量表征的人体躯干在现实生活中的条件下的位移的技术挑战。 超越挑战,使非侵入性的体积评估可能的关键在于智能精密监测系统,可以隔离测量的变化所造成的环境条件下,从实际心肺activity.Intellectual优点:我们提出了为期三年的合作努力之间的夏威夷大学马诺阿?的电气工程系和约翰A.伯恩斯医学院,进行基础研究,探索雷达方法的连续非接触评估心肺容量的久坐不动的人类受试者。这些发现可能导致生物传感系统对心肺容量的医学显著变化敏感,同时对于受试者之间的生物特征变化和受试者位置的变化保持区分性和鲁棒性。拟议的努力将促进生理学雷达测量和人类心肺功能理解方面的知识。它还将支持其交叉点的潜在技术突破,包括新的诊断技术。我们团队的独特优势是多普勒雷达(Lubecke,Boric-Lubecke)和非侵入性心脏病学专业知识(濑户)的结合。PI最近的工作?在多普勒心肺传感方面的研究已经产生了70多篇论文,一本书的章节和一本合同书,14项发明披露,4项专利申请和一项新兴技术奖。在相关工作中,研究生与PI合作?更广泛的影响:这个项目的成果可以导致有价值的工具,有利于社会在生命科学,医疗保健,应急响应,安全/军事行动。这项研究提出了一个激励教育的机会,利用夏威夷?的独特需求,远程医疗保健工具,并达到了少数民族学生的历史上一直缺乏当地的教育和工业机会的多样化人口。研究成果将与教育相结合,通过课程(生物医学和传感器课程),本科研究项目和K-12 STEM外联活动,培养新一代工程师,提高对生物传感器问题的认识。我们的研究结果将通过科学出版物和研讨会,公开讲座和K-12外展,包括STEM日,学校访问和暑期课程广泛传播。这项研究代表了扩大参与,因为它鼓励少数民族学生的参与,并包括来自EPSCoR州代表性不足的群体(西班牙裔PI和女性Co-PI)的个人。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Victor Lubecke其他文献

Victor Lubecke的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Victor Lubecke', 18)}}的其他基金

SCH: INT: Collaborative Research: Non-Contact Smart Monitor for Sleep Disorder Diagnosis and Intervention
SCH:INT:合作研究:用于睡眠障碍诊断和干预的非接触式智能监测仪
  • 批准号:
    1915738
  • 财政年份:
    2019
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
GOALI - Wireless Life Monitoring Transponders
GOALI - 无线生命监测转发器
  • 批准号:
    0702234
  • 财政年份:
    2007
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Continuing Grant

相似国自然基金

SERS探针诱导TAM重编程调控头颈鳞癌TIME的研究
  • 批准号:
    82360504
  • 批准年份:
    2023
  • 资助金额:
    32 万元
  • 项目类别:
    地区科学基金项目
华蟾素调节PCSK9介导的胆固醇代谢重塑TIME增效aPD-L1治疗肝癌的作用机制研究
  • 批准号:
    82305023
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于MRI的机器学习模型预测直肠癌TIME中胶原蛋白水平及其对免疫T细胞调控作用的研究
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    52 万元
  • 项目类别:
    面上项目
结直肠癌TIME多模态分子影像分析结合深度学习实现疗效评估和预后预测
  • 批准号:
    62171167
  • 批准年份:
    2021
  • 资助金额:
    57 万元
  • 项目类别:
    面上项目
Time-lapse培养对人类胚胎植入前印记基因DNA甲基化的影响研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
萱草花开放时间(Flower Opening Time)的生物钟调控机制研究
  • 批准号:
    31971706
  • 批准年份:
    2019
  • 资助金额:
    59.0 万元
  • 项目类别:
    面上项目
Time-of-Flight深度相机多径干扰问题的研究
  • 批准号:
    61901435
  • 批准年份:
    2019
  • 资助金额:
    25.0 万元
  • 项目类别:
    青年科学基金项目
Finite-time Lyapunov 函数和耦合系统的稳定性分析
  • 批准号:
    11701533
  • 批准年份:
    2017
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目
建筑工程计划中Time Buffer 的形成和分配 – 工程项目管理中的社会性研究
  • 批准号:
    71671098
  • 批准年份:
    2016
  • 资助金额:
    48.0 万元
  • 项目类别:
    面上项目
光学Parity-Time对称系统中破坏点的全光调控特性研究
  • 批准号:
    11504059
  • 批准年份:
    2015
  • 资助金额:
    20.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

PZT-hydrogel integrated active non-Hermitian complementary acoustic metamaterials with real time modulations through feedback control circuits
PZT-水凝胶集成有源非厄米互补声学超材料,通过反馈控制电路进行实时调制
  • 批准号:
    2423820
  • 财政年份:
    2024
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Standard Grant
DETECT: A Non-Invasive and Automated Real-Time Disease Detection Tool for Cattle
DETECT:一种针对牛的非侵入性自动化实时疾病检测工具
  • 批准号:
    10072590
  • 财政年份:
    2023
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Collaborative R&D
Study of non-parametric reconstruction algorithms of gravitational wave for real-time detection
实时探测引力波非参数重构算法研究
  • 批准号:
    22KF0329
  • 财政年份:
    2023
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Non-invasive real-time modelling of biophysical and metabolic changes in airways disease
气道疾病生物物理和代谢变化的无创实时建模
  • 批准号:
    2899496
  • 财政年份:
    2023
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Studentship
A Hybrid Learning-Based Digital Twin Framework for Real-Time Prediction and Prevention of Part Non-Conformance in Sustainable Manufacturing
基于混合学习的数字孪生框架,用于实时预测和预防可持续制造中的零件不合格品
  • 批准号:
    2884421
  • 财政年份:
    2023
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Studentship
Glucowear: A non-invasive, wearable, real time continuous blood glucose monitoring sensor
Glucowear:一种非侵入式、可穿戴式、实时连续血糖监测传感器
  • 批准号:
    10068829
  • 财政年份:
    2023
  • 资助金额:
    $ 29.94万
  • 项目类别:
    EU-Funded
Development of an automatic real-time personalized non-invasive localization of the site of origin of the earliest ventricular activation
开发最早心室激动起源部位的自动实时个性化无创定位
  • 批准号:
    10579726
  • 财政年份:
    2023
  • 资助金额:
    $ 29.94万
  • 项目类别:
Non-Contact Real-time Nondestructive Evaluation Technology for NDE 4.0
NDE 4.0非接触实时无损评估技术
  • 批准号:
    RGPIN-2020-05495
  • 财政年份:
    2022
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Discovery Grants Program - Individual
Using Multimodal Real-Time Assessment to Phenotype Dietary Non-Adherence Behaviors that Contribute to Poor Outcomes in Behavioral Obesity Treatment
使用多模式实时评估对导致行为性肥胖治疗效果不佳的饮食不依从行为进行表型分析
  • 批准号:
    10418847
  • 财政年份:
    2022
  • 资助金额:
    $ 29.94万
  • 项目类别:
Non-invasive three-dimensional real-time in vivo tissue characterization of lymph nodes
淋巴结的非侵入性三维实时体内组织表征
  • 批准号:
    22KK0179
  • 财政年份:
    2022
  • 资助金额:
    $ 29.94万
  • 项目类别:
    Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了