SST: GOALI: MIMO Techniques for Remote Sensing of Physiological Motion
SST:GOALI:生理运动遥感的 MIMO 技术
基本信息
- 批准号:0428975
- 负责人:
- 金额:$ 37.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-04-15 至 2009-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A means for unobtrusive and ubiquitous detection and monitoring of heart and respiration activity from a distance could be a powerful tool for health care, emergency, and surveillance applications, yet remains a largely unrealized goal. Without contact or subject preparation (special clothing, attachments, etc.), this could better extend health monitoring to the chronically ill in routine life, allow wellness monitoring for a large population without known predisposition for risk or harm, and provide alarm and data in emergencies. Such technology could also be used to detect lost or hidden subjects, to help assess emotional state, and to compliment more cumbersome measurements as pre-screening. Doppler radar remote sensing of vital signs has shown promise to this end, with proof of concept demonstrated for various applications by the UHM PI.s and others. Unfortunately, this principle has not been developed to the level of practical application, mainly due to a lack of an effective way to isolate desired target motion from interference. However, by leveraging recent advances in signal processing and wireless communications technologies, this technique has the potential to transcend mere novelty and make a profound impact on health and welfare in society. We propose to explore robust radar monitoring techniques by isolating desired radar return signals from unwanted motion through recent developments in multiple input multiple output (MIMO) signal processing techniques, developed to enhance wireless communications channel capacity through constructive use of multipath phenomenon. The approach would involve three primary areas of research: (1) development of spatial-frequency algorithms for single and multiple source radar, (2) active radar system implementation using wireless terminals and/or silicon radar chips, and (3) development of an effective .pseudo-passive. sensing system where radio signals in the environment are harnessed for radar monitoring without control or specification of the signal source. The project will culminate with the demonstration of robust Doppler radar MIMO system capable of isolating and determining the number of subjects in the monitoring field, and measuring their heart and respiration rates. Intellectual Merit: The proposed three-year collaborative research effort between the University of Hawaii at Manoa (UHM) and Bell laboratories (BL) would explore techniques for making non-contact Doppler radar sensing of cardiopulmonary activity a practical alternative or supplement to more cumbersome and invasive technologies that necessarily limit application. Recent work by the UHM PI and one Co-PI (Lubecke) to implement Doppler sensing by leveraging telecommunications technology, including the detection of heart and respiration signatures with wireless terminals, has attracted international attention for its potential. The second UHM Co-PI (Host-Madsen) is an established expert in statistical and communications signal processing with numerous publications in multi-user detection, estimation theory, and adaptive signal processing. The industry partner, BL, is widely considered the leader in the field of MIMO and other wireless systems technology. In related work, graduate students working with the PI have won three student paper competition awards in major IEEE MTT and EMB conferences. Broader Impact: The outcomes of this project can lead to valuable tools beneficial for society in the areas of health care, emergency response, military, and security operations. The research would present a particularly 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. Thus, an important aspect of this program will be interactions of UHM students with BL industrial co-advisors, involving extended periods of training in the highly relevant fields of communications and bio-sensing engineering, beyond the limits of the University (and Hawaii), at BL in a world-class research environment. The partnership established will allow UHM students and faculty to complement UHM resources by leveraging BL.s considerable expertise and facilities without charge, including a broad range of wireless test systems.
从远处对心脏和呼吸活动监测和监测的一种手段可能是医疗保健,紧急和监视应用的有力工具,但仍然是一个未实现的目标。如果没有接触或主题准备(特殊的衣服,附件等),这可以更好地将健康监测扩展到常规生活中的长期病情,可以对大量人口进行健康监控,而无需知道风险或伤害的已知倾向,并在紧急情况下提供警报和数据。此类技术也可以用来检测失去或隐藏的主题,以帮助评估情绪状态,并补充更麻烦的测量作为预筛选。 生命体征的多普勒雷达遥感对这一目的表现出了希望,并在UHM PI.S和其他其他应用程序中证明了概念证明。不幸的是,这一原则尚未发展到实际应用的水平,这主要是由于缺乏将所需目标运动隔离而不是干扰的有效方法。 但是,通过利用信号处理和无线通信技术的最新进展,该技术有可能超越新颖性并对社会中的健康和福利产生深远的影响。 我们建议通过通过多个输入多重输出(MIMO)信号处理技术的最新发展从不需要的运动中隔离所需的雷达返回信号来探索强大的雷达监测技术,从而开发了旨在通过建设性地使用多路径现象来增强无线通信通道容量。该方法将涉及研究的三个主要领域:(1)开发单源和多个源雷达的空间频率算法,(2)使用无线终端和/或硅雷达芯片实施主动雷达系统,以及(3)有效的.pseudo-passassive。传感系统,其中利用环境中的无线电信号进行雷达监测,而无需控制或指定信号源规范。 该项目将通过鲁棒多普勒雷达MIMO系统的证明,能够隔离和确定监测场中的受试者数量,并测量其心脏和呼吸率。 知识分子:夏威夷大学(UHM)和Bell Laboratories(BL)之间提议的为期三年的合作研究工作将探索对心脏肺活量的非接触式多普勒雷达感应的技术,以探索心脏肺活量的实际替代或补充,以替代必要限制应用程序。 UHM PI和一项Co-Pi(Lubecke)最近通过利用电信技术来实施多普勒感测的最新工作,包括对心脏的检测和无线终端的呼吸特征,引起了国际关注的潜力。 第二个UHM Co-Pi(Host-Madsen)是统计和通信信号处理方面的知名专家,在多用户检测,估计理论和自适应信号处理方面有许多出版物。行业合作伙伴BL被广泛认为是MIMO和其他无线系统技术领域的领导者。 在相关工作中,与PI一起工作的研究生在IEEE MTT和EMB会议上赢得了三项学生造纸奖。 更广泛的影响:该项目的结果可以导致有价值的工具在医疗保健,应急,军事和安全行动领域中有益于社会。 这项研究将提出一个特别激励的教育机会,该机会利用夏威夷的独特需求对远程医疗保健工具,并与当地教育和工业机会所服务的众多少数族裔学生接触。 因此,该计划的一个重要方面将是UHM学生与BL工业联合顾问的互动,其中涉及在高度相关的通信和生物感应工程领域的长期培训,超出了大学(和夏威夷)的范围,在BL的范围内,在世界一流的研究环境中。建立的合作伙伴关系将使UHM学生和教职员工通过利用BL.的大量专业知识和设施来补充UHM资源,包括广泛的无线测试系统。
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)
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Olga Boric-Lubecke其他文献
Olga Boric-Lubecke的其他文献
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{{ truncateString('Olga Boric-Lubecke', 18)}}的其他基金
Collaborative Research: CPS: TTP Option: Medium: i-HEAR: immersive Human-On-the-Loop Environmental Adaptation for Stress Reduction
合作研究:CPS:TTP 选项:中:i-HEAR:沉浸式人类循环环境适应以减轻压力
- 批准号:
2039089 - 财政年份:2021
- 资助金额:
$ 37.5万 - 项目类别:
Standard Grant
Robust Physiological Signal Extraction using High Precision Hardware and Personalized Signal Processing
使用高精度硬件和个性化信号处理进行稳健的生理信号提取
- 批准号:
0926076 - 财政年份:2009
- 资助金额:
$ 37.5万 - 项目类别:
Continuing Grant
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