SCC: UNITE: Smart, Connected, and Coordinated Maternal Care for Underserved Communities
SCC: UNITE: Smart, Connected, and Coordinated Maternal Care for Underserved Communities
批准号:
1831918
负责人:
Nikil Dutt
金额:
$209.94万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2023-09-30
中文摘要
该项目展示了UNITE(服务不足社区):一种智能的社区参与模式,部署无处不在的监控和生活记录;建立联系,将包括母亲、家庭、护理提供者和外联资源在内的各种社区成员聚集在一起;通过协调,利用技术主动接触社区并利用个性化干预和教育来改善妇女的自我管理。UNITE项目倡导一种规模可扩展、适用于不同族裔社区的模式,并承诺通过更好的自我管理和增强社区激励因素来改善成果。UNITE项目将开展一项对照研究,利用奥兰治县服务不足的母亲社区以及非营利机构、医院和地方支持组织来评估这种新的社区增强自我管理方法的功效及其对社区建设的影响。该项目将建立更大的医疗保健提供者、保险提供者和政府机构社区,共同努力,改善各种社会经济弱势群体的母亲和家庭的福祉和生活方式。UNITE项目还将培训下一代医疗保健提供者以具有成本效益和用户友好的方式部署与社会经济相关的物联网(IoT)技术。UNITE项目将利用可穿戴物联网设备、生命记录、环境识别和健康监测,通过两项技术重点,利用多模态数据捕获,构建孕产妇保健社区的整体数字表型。第一个技术重点是建立一个社区加强的个性化监测和推荐系统。该系统将利用先进的信号处理和随机控制技术,结合矩阵补全和图形信号处理的最新进展,在观测、数据处理和模型构建之间建立闭环。通过利用个体母亲周围社区提供的额外维度,该项目将设计智能挖掘算法,通过更大社区背景下的个性化模型进行原因评估。第二个技术重点是通过注册护士(RN)在环智能监测干预系统实现自我管理,该系统将使用基于物联网的可穿戴身体区域网络,持续监测母亲的生理体征、行为信息和社会生活方式,并就母亲的身心健康状况提供个性化反馈(如通知、警告、建议),并为卫生专业人员提供详细数据。第二推力的自我管理将通过第一推力的个性化社区增强推荐系统得到改善和激励,并将产生技术增强的社区护理协调和教育。通过这些技术重点,UNITE系统将利用无处不在的监测并开发一个能够动态支持母亲在怀孕期间健康生活方式的推荐系统。主要的设计原则是,每个母亲周围的社区加强监测和干预,使更个性化的建议能够激发更好的自我管理。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project presents UNITE (UNderserved communITiEs): a community engagement model that is smart, deploying ubiquitous monitoring and lifelogging; connected, bringing together a diverse cast of community members including mothers, families, care providers, and outreach resources; and coordinated, using technology to proactively reach out to the community and use personalized intervention and education for improved self-management by the women. The UNITE project champions a model that is scalable in size, portable across different ethnic communities, and promises improved outcomes through better self-management and community enhanced motivational factors. The UNITE project will perform a controlled study using a community of underserved Orange County mothers together with non-profit agencies, hospitals, and local support organizations to evaluate the efficacy of this new community-enhanced self-management approach, and its impact on community building. The project will build larger communities of healthcare providers, insurance providers, and governmental agencies that can work in concert to enhance the well-being and lifestyles of mothers and families across a diverse spectrum of socio-economically disadvantaged groups. The UNITE project will also train the next generation of healthcare providers to deploy socio-economically relevant Internet-of-Things (IoT) technology in a cost-effective and user-friendly manner. The UNITE project will exploit wearable IoT devices, lifelogging, context recognition, and health monitoring to build holistic digital phenotypes of the maternal care community using multi-modal data capture via two technical thrusts. The first technical thrust will develop a community-enhanced personalized monitoring and recommendation system. The system will leverage advanced signal processing and stochastic control techniques coupled with recent advances in matrix completion and graph signal processing to close the loop between observations, data processing and model building. By exploiting the additional dimension provided by the community surrounding the individual mothers, the project will design smart mining algorithms for cause assessment through personalized models in the context of the larger community. The second technical thrust will enable self-management via a Registered Nurse (RN)-in-the-loop smart monitoring-intervention system that will continuously monitor maternal-related physiological signs as well as behavioral information and social lifestyle of mothers using a wearable IoT-based body area network, offering personalized feedback (e.g., notification, warning, recommendation) on the mother's physical and mental health status as well as detailed data for health professionals. The self-management in the second thrust will be improved and incentivized through the first thrust's personalized community-enhanced recommendation system, and will result in technology-enhanced community care coordination and education. Through these technical thrusts, the UNITE system will exploit ubiquitous monitoring and develop a recommendation system capable of dynamically supporting a healthy lifestyle of a mother during pregnancy. The leading design principle is that the community surrounding the individual mother enhances monitoring and interventions, enabling more personalized recommendations that motivate better self-management.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.
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DOI:
10.1097/nmc.0000000000000722
发表时间:
2021
期刊:
MCN: The American Journal of Maternal/Child Nursing
影响因子:
--
作者:
[Guo, Yuqing, Kehoe, Priscilla, Pimentel, Pamela, Rousseau, Julie, Axelin, Anna, Rahmani, Amir M., Dutt, Nikil]
通讯作者:
Dutt, Nikil
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings
主动强化学习在日常环境中进行个性化压力监测
DOI:
--
发表时间:
2023
期刊:
Systems and Engineering Technologies (CHASE
影响因子:
--
作者:
[Tazarv, A, Labbaf, S, Rahmani, A, Dutt, N, Levorato, M]
通讯作者:
Levorato, M
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
在日常环境中使用可穿戴传感器进行个性化压力监测
DOI:
10.1109/embc46164.2021.9630224
发表时间:
2021
期刊:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC
影响因子:
--
作者:
[Tazarv, Ali, Labbaf, Sina, Reich, Stephanie M., Dutt, Nikil, Rahmani, Amir M., Levorato, Marco]
通讯作者:
Levorato, Marco
DOI:
10.2196/30991
发表时间:
2021-11-17
期刊:
JMIR formative research
影响因子:
2.2
作者:
[Jimah T, Borg H, Kehoe P, Pimentel P, Turner A, Labbaf S, Asgari Mehrabadi M, Rahmani AM, Dutt N, Guo Y]
通讯作者:
Guo Y
DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference
DynaFuse:动态融合,实现资源高效的多模态机器学习推理
DOI:
10.1109/les.2023.3298738
发表时间:
2023
期刊:
IEEE Embedded Systems Letters
影响因子:
1.6
作者:
[Alikhani, Hamidreza, Kanduri, Anil, Liljeberg, Pasi, Rahmani, Amir M., Dutt, Nikil]
通讯作者:
Dutt, Nikil
共 9 条
WiFiUS: IoCT-CARE: Internet of Cognitive Things for Personalized Healthcare
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批准号:1702950
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2017
-
负责人:Nikil Dutt
-
依托单位:
SHF: Medium: Conquering MPSoC Complexity with Principles of a Self-Aware Information Processing Factory
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批准号:1704859
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项目类别:Standard Grant
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资助金额:$90.0万
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财政年份:2017
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负责人:Nikil Dutt
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依托单位:
International Workshop on Cyber-Physical Systems (WCPS'09): Closing the Loop -- To be held in conjunction with ESWEEK 2009. To Be Held in Grenoble, France, October, 11-16, 2009
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批准号:0946918
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项目类别:Standard Grant
-
资助金额:$3.0万
-
财政年份:2009
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负责人:Nikil Dutt
-
依托单位:
Collaborative Research: Consortium for Embedded Systems
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批准号:0700488
-
项目类别:Standard Grant
-
资助金额:$1.0万
-
财政年份:2007
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负责人:Nikil Dutt
-
依托单位:
Cross-Layer Error Exploitation for Next Generation SoCs
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批准号:0702797
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项目类别:Continuing Grant
-
资助金额:$0.0万
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财政年份:2007
-
负责人:Nikil Dutt
-
依托单位:
Collaborative Research: Platform-Based CAD for Power and Performance Optimization
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批准号:0203813
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项目类别:Continuing Grant
-
资助金额:$9.01万
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财政年份:2002
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负责人:Nikil Dutt
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依托单位:
Design Exploration for Memory-Intensive Embedded Systems
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批准号:9708067
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项目类别:Continuing Grant
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资助金额:$39.94万
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财政年份:1997
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负责人:Nikil Dutt
-
依托单位:
CISE Research Instrumentation: Laboratory for Design Methodologies of Embedded Systems
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批准号:9422095
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项目类别:Standard Grant
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资助金额:$7.14万
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财政年份:1995
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负责人:Nikil Dutt
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依托单位:
RIA: Design Conceptualization for High Level Synthesis of Hardware
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批准号:9009239
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项目类别:Standard Grant
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资助金额:$7.5万
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财政年份:1990
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负责人:Nikil Dutt
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依托单位:
海外基金