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조회61

김호담Hodam Kim

연세대학교

Biosens. Bioelectron., Available online 17 March 2025, 117387 | https://doi.org/10.1016/j.bios.2025.117387 Continuous Real-Time Detection and Management of Comprehensive Mental States Using Wireless Soft Multifunctional Bioelectronics

Hodam Kim ^a,b,c,d, Hojoong Kim ^d,e, Yoon Jae Lee ^d,f, Hoon Yi ^d,e, Youngjin Kwon ^d,e, Yunuo Huang ^d, Lynn Marie Trotti ^g, Yun Soung Kim ^b,c, Woon-Hong Yeo ^d,e,h,i

^aDivision of Biomedical Engineering, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea
^bBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
^cDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
^dWearable Intelligent Systems and Healthcare Center, Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA 30332, USA
^eGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
^fSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
^gEmory Sleep Center and Department of Neurology, Emory University School of Medicine, Atlanta, GA 30329, USA
^hWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA
ⁱParker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA 30332, USA

Corresponding author: Woon-Hong Yeo

Abstract

Quantitatively measuring human mental states that profoundly affect cognition, behavior, and recovery would revolutionize personalized digital healthcare. Detecting fatigue, stress, and sleep is particularly important due to their interdependence: persistent fatigue can induce cognitive stress, while chronic stress impairs sleep quality, creating a harmful feedback loop. Here, we introduce a wireless, soft, multifunctional bioelectronic system offering the continuous real-time detection and management of comprehensive mental states. The all-in-one wearable device, mounted on the forehead, measures clinical-grade brain and cardiorespiratory signals. This membrane biopatch is imperceptible, flexible, and reusable, providing ultimate user comfort while detecting high-fidelity electroencephalogram, electrooculogram, pulse rate, and blood oxygen saturation. A set of in vivo studies with human subjects demonstrates that the soft device has great skin-conformal contact and minimized motion artifacts, capturing clinical-quality data with different activities, even during sleep. The developed signal processing methods and deep-learning algorithms offer automated, real-time classification of driving drowsiness, stress conditions, and sleep quality. The bioelectronics platforms in this study have the potential to revolutionize digital healthcare, particularly personalized medicine and at-home health monitoring.

논문정보

형식Research article
게재일2025년 03월 (BRIC 등록일 2025-03-19)
연구진국내+국외 연구진
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