여운홍 (Georgia Tech)

한빛사논문

조회356

Georgia Tech

CV File 383 kb

Adv. Sci., Jan 26 2024, | https://doi.org/10.1002/advs.202307609 Cloud-Integrated Smart Nanomembrane Wearables for Remote Wireless Continuous Health Monitoring of Postpartum Women

Jared Matthews ^1,2, Ira Soltis ^1,2, Michelle Villegas-Downs ³, Tara A Peters ³, Anne M Fink ⁴, Jihoon Kim ^1,2, Lauren Zhou ^1,2, Lissette Romero ^1,2, Barbara L McFarlin ³, Woon-Hong Yeo ^1,2,5,6

¹IEN Center for Wearable Intelligent Systems and Healthcare at the Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

²George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

³Department of Human Development Nursing Science, College of Nursing, University of Illinois Chicago, 845 S. Damen Ave., MC 802, Chicago, IL, 60612, USA.

⁴Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, 845 S. Damen Ave., MC 802, Chicago, IL, 60612, USA.

⁵Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech and Emory University School of Medicine, Atlanta, GA, 30332, USA.

⁶Parker H. Petit Institute for Bioengineering and Biosciences, Institute for Materials, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

CORRESPONDING AUTHOR : Woon-Hong Yeo

Abstract

Noncommunicable diseases (NCD), such as obesity, diabetes, and cardiovascular disease, are defining healthcare challenges of the 21st century. Medical infrastructure, which for decades sought to reduce the incidence and severity of communicable diseases, has proven insufficient in meeting the intensive, long-term monitoring needs of many NCD disease patient groups. In addition, existing portable devices with rigid electronics are still limited in clinical use due to unreliable data, limited functionality, and lack of continuous measurement ability. Here, a wearable system for at-home cardiovascular monitoring of postpartum women-a group with urgently unmet NCD needs in the United States-using a cloud-integrated soft sternal device with conformal nanomembrane sensors is introduced. A supporting mobile application provides device data to a custom cloud architecture for real-time waveform analytics, including medical device-grade blood pressure prediction via deep learning, and shares the results with both patient and clinician to complete a robust and highly scalable remote monitoring ecosystem. Validated in a month-long clinical study with 20 postpartum Black women, the system demonstrates its ability to remotely monitor existing disease progression, stratify patient risk, and augment clinical decision-making by informing interventions for groups whose healthcare needs otherwise remain unmet in standard clinical practice.

논문정보

형식Research article
게재일2024년 01월 (BRIC 등록일 2024-01-30)
연구진국외 연구진
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