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
基本信息
- 批准号:2039089
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-10-01 至 2024-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
There is no question that indoor environments are often uncomfortable or unhealthy for occupants. This is an even more critical issue in healthcare facilities, where patients may experience the stressful effects of poor thermal, luminous, and acoustic environments more acutely. With complementary expertise from engineering and psychology, the proposed research is focused on creating a human-on-the-loop, responsive indoor environmental system with the potential to offer better quality of care in hospitals. The outputs of this project will have profound societal impacts on the wellbeing of both healthy individuals and on recovering sick individuals. Research outcomes will enable real time human-built environment interaction to minimize stress and optimize performance in any built environment, and ultimately lead towards economic benefits achieved through wellness and higher productivity. Improved indoor environmental quality in hospital settings will improve patient healing, which is an important societal benefit. Similar strategies can be used for educational facilities, and office buildings. This research encourages Broadening Participation through inclusion of individuals from underrepresented groups (female and Latinx Co-PIs), female and minority students, and a minority serving lead institution from an EPSCoR state. Results will be disseminated broadly through scientific publications and seminars, and K-12 outreach, including STEM competitions, and summer programs.Indoor environmental quality (IEQ) not only impacts the physical health of patients, but also their psychological health. Yet environmental controls for heating, cooling and ventilation, noise attenuation, and lighting in hospitals are based on outdated models of how hospitals function, who occupies these settings, and what emerging technologies are available. As a result, many hospitals are just functionally adequate, often likely to be too cold or hot, too loud, or too bright. In order to capitalize on the healing potential of the hospital’s built environment, we propose a three-year collaborative effort between the University of Hawaii at Manoa, Arizona State University, and Drexel University to develop innovative biosensor technologies, deep-learning health data analytics, and user-centric control algorithms to connect these three domains in which the interdependencies of the physiological, physical, and psychological will be investigated, quantified, and addressed. The team is partnering with the Children’s Hospital of Philadelphia (CHOP) to validate the approach. Specific anticipated engineering/science contributions include: 1) innovative cyber-physical system architecture using heterogeneous biosensing and data analytics for real-time control; 2) new sensor fusion based technology for non-invasive, precise physiological measures that are surrogate stress indicators; 3) progressive development of innovative human centric deep model linking physiological biometrics to psychological measures, and connecting environmental factors to psychological measures facilitated with physiological biometrics; 4) new stress responsive real-time supervisory control strategies including optimal environmental adjustment, and 5) multi-level system evaluation via virtual, laboratory, and field testing at a hospital environment at CHOP.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.
毫无疑问,室内环境对居住者来说往往是不舒服或不健康的。这在医疗机构中是一个更关键的问题,在那里,患者可能会更强烈地感受到恶劣的热、光和声环境的压力影响。凭借工程学和心理学的互补专业知识,拟议的研究重点是创建一种人在回路上的、反应灵敏的室内环境系统,有可能在医院提供更好的护理质量。该项目的成果将对健康人和康复病人的福祉产生深远的社会影响。研究成果将实现人与建筑环境的实时交互,以最大限度地减少压力,优化任何建筑环境的性能,并最终通过健康和更高的生产率实现经济效益。改善医院的室内环境质量将促进患者的康复,这是一项重要的社会效益。类似的策略也可以用于教育设施和写字楼。这项研究鼓励通过纳入代表不足的群体的个人(女性和拉丁裔共同参与个人)、女性和少数族裔学生以及来自EPSCoR州的少数族裔服务牵头机构来扩大参与。结果将通过科学出版物和研讨会以及包括STEM比赛在内的K-12外联活动和暑期计划广泛传播。室内环境质量不仅影响患者的身体健康,也影响他们的心理健康。然而,医院的供暖、制冷和通风、噪音衰减和照明的环境控制是基于过时的模式,即医院如何运作、谁占据这些环境以及哪些新兴技术可用。因此,许多医院的功能只是足够的,往往可能太冷或太热,太吵,或太明亮。为了充分利用医院建筑环境的治疗潜力,我们建议夏威夷大学马诺阿分校、亚利桑那州立大学和德雷克塞尔大学进行为期三年的合作,开发创新的生物传感器技术、深度学习健康数据分析和以用户为中心的控制算法,以连接这三个领域,其中生理、物理和心理的相互依赖将被调查、量化和解决。该团队正在与费城儿童医院(CHOP)合作验证这种方法。具体的预期工程/科学贡献包括:1)使用异质生物传感和数据分析进行实时控制的创新的网络物理系统体系结构;2)基于传感器融合的新技术,用于作为替代应激指标的非侵入性、精确的生理测量;3)逐步发展创新的以人类为中心的深层模型,将生理生物测量与心理测量联系起来,并通过生理生物测量将环境因素与心理测量相联系;4)新的压力响应实时监督控制策略,包括最佳环境调整,以及5)通过虚拟、实验室和CHOP医院环境的现场测试进行多级别系统评估。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Laser-Based Noncontact Blood Pressure Estimation Using Human Body Displacement Waveforms
利用人体位移波形进行基于激光的非接触式血压估算
- DOI:10.1109/ims37962.2022.9865553
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Oyamada Yuji;Koshisaka Takehito;Stankaitis Grant;Islam Shekh M.M.;Lubecke Victor M.;Boric-Lubecke Olga;Sakamoto Takuya
- 通讯作者:Sakamoto Takuya
Physiological Motion Sensing via Channel State Information in NextG Millimeter-Wave Communications Systems
- DOI:10.1109/jmw.2022.3224375
- 发表时间:2023-01-01
- 期刊:
- 影响因子:0
- 作者:Ishmael, Khaldoon M.;Pan, Yanjun;Boric-Lubecke, Olga
- 通讯作者:Boric-Lubecke, Olga
Effect of respiration harmonics on beat-to-beat analysis of heart signal
呼吸谐波对心脏信号逐次心跳分析的影响
- DOI:10.1109/ims37964.2023.10188004
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Sameera, Jannatun Noor;Ishrak, Mohammad Shadman;Lubecke, Victor;Boric-Lubecke, Olga
- 通讯作者:Boric-Lubecke, Olga
Identity Authentication in Two-Subject Environments Using Microwave Doppler Radar and Machine Learning Classifiers
- DOI:10.1109/tmtt.2022.3197413
- 发表时间:2022-08-22
- 期刊:
- 影响因子:4.3
- 作者:Islam, Shekh M. M.;Boric-Lubecke, Olga;Lubecke, Victor M.
- 通讯作者:Lubecke, Victor M.
Heart rate detection using single-channel Doppler radar system
使用单通道多普勒雷达系统进行心率检测
- DOI:10.1109/embc48229.2022.9871199
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Sameera, Jannatun Noor;Droitcour, Amy D.;Boric-Lubecke, Olga
- 通讯作者:Boric-Lubecke, Olga
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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
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:
$ 40万 - 项目类别:
Continuing Grant
SST: GOALI: MIMO Techniques for Remote Sensing of Physiological Motion
SST:GOALI:生理运动遥感的 MIMO 技术
- 批准号:
0428975 - 财政年份:2005
- 资助金额:
$ 40万 - 项目类别:
Standard Grant
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Cell Research
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