SCC: UNITE: Smart, Connected, and Coordinated Maternal Care for Underserved Communities

SCC：UNITE：为服务不足的社区提供智能、互联和协调的孕产妇护理

• 批准号: 1831918
• 负责人: Nikil Dutt
• 金额: $ 209.94万
• 依托单位: University of California-Irvine
• 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
• 起止时间: 2018-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1831918&HistoricalAwards=false
• 关键词: SCC; UNITE; Smart; Connected; Coordinated

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.

该项目介绍了UNITE（未得到服务的社区）：一个社区参与模式，它是智能的，部署无处不在的监测和生活记录;连接，汇集了包括母亲，家庭，护理提供者和外展资源在内的各种社区成员;协调，利用技术主动接触社区，并使用个性化的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、可在不同族裔社区之间移植的模式，并承诺通过更好的自我管理和社区增强的激励因素来改善成果。UNITE项目将利用服务不足的橙子县母亲社区与非营利机构、医院和当地支持组织进行对照研究，以评估这种新的社区增强自我管理方法的有效性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，这些机构可以协同工作，提高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商，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、生活记录、上下文识别和健康监测，通过两个技术重点，使用多模式数据捕获来构建孕产妇护理社区的整体数字表型。第一个技术重点是开发一个社区增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，再加上矩阵完成和图形信号处理的最新进展，以关闭观测、数据处理和模型构建之间的循环。通过利用围绕个体母亲的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。第二个技术重点将通过注册护士（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体域网持续监测母亲相关的生理体征以及行为信息和社交生活方式，提供个性化反馈（例如，通知、警告、建议），以及提供给保健专业人员的详细数据。第二个推力中的自我管理将通过第一个推力的个性化社区增强推荐系统得到改善和激励，并将导致技术增强的社区护理协调和教育。通过这些技术推动，UNITE系统将利用无处不在的监测，并开发一个能够动态支持怀孕期间母亲健康生活方式的推荐系统。主要的设计原则是，围绕着个别母亲的社区加强了监测和干预，使更多的个性化建议，激励更好的自我管理。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

Exercise and Stress in At-Risk Women during Pregnancy and Postpartum

怀孕和产后高危女性的运动和压力

• DOI: 10.1097/nmc.0000000000000722
• 发表时间: 2021
• 期刊: MCN: The American Journal of Maternal/Child Nursing
• 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

• 发表时间: 2023
• 期刊: Systems and Engineering Technologies (CHASE
• 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
• 作者: Tazarv, Ali;Labbaf, Sina;Reich, Stephanie M.;Dutt, Nikil;Rahmani, Amir M.;Levorato, Marco
• 通讯作者: Levorato, Marco

A Technology-Based Pregnancy Health and Wellness Intervention (Two Happy Hearts): Case Study.

• 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