Smart, Connected, and Coordinated Maternal Care for Underserved Communities

Smart, Connected, and Coordinated Maternal Care for Underserved Communities Contact Person:

Nikil Dutt

Other PIs/Investigators/PhD students:

Yuqing Guo
Amir Rahmani
Marco Levorato
Margaret Schneider
Stephanie Reich
Gillian Hayes
Pamela Pimentel
Sina Labbaf
Milad Asgari
Priscilla Kehoe
Julie Rousseau
Jessica Oviatt

MOMS Orange County, Saint Joseph Hospital in Orange, Children and Families Commission of OC, Community Health Initiative of OC, University of Turku, and TYKS Hospital Funding Agency:

NSF Smart and Connected Communities (S&CC) program

Project Summary:

UNITE (UNderserved communITiEs) presents 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 performs 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 builds 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 also trains the next generation of healthcare providers to deploy socio-economically relevant Internet-of-Things (IoT) technology in a cost-effective and user-friendly manner.


– Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilen, Anna Axelin, Nikil Dutt, Pasi Liljeberg, and Amir M. Rahmani, “Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study”, IEEE Access, 2019
– Holly Borg, Hannah Vasquez, Michelle Heredia, Melissa Navarrete, Nikil Dutt, Amir M. Rahmani, and Yuqing Guo, “A Self-Management Model: Using Wearable Devices for Continuous Monitoring during the Perinatal Period”, National Perinatal Association Annual Conference Perinatal Care and the 4th Trimester” (NPA’20), 2020
– Lucretia Williams, Gillian R. Hayes, Yuqing Guo, Amir M. Rahmani, Nikil Dutt, “HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge”, ACM CHI Conference on Human Factors in Computing Systems, Case Study (CHI’20-Case Study), 2020
_ Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg, “Robust ECG R-peak Detection Using LSTM”, The 35th ACM/SIGAPP Symposium On Applied Computing (SAC’20), 2019