Kim Hodam, Kim Hojoong, Lee Yoon Jae, Yi Hoon, Kwon Youngjin, Huang Yunuo, Trotti Lynn Marie, Kim Yun Soung, Yeo Woon-Hong
Division of Biomedical Engineering, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Wearable Intelligent Systems and Healthcare Center, Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Wearable Intelligent Systems and Healthcare Center, Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA 30332, USA; George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Biosens Bioelectron. 2025 Jul 1;279:117387. doi: 10.1016/j.bios.2025.117387. Epub 2025 Mar 17.
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.
定量测量对认知、行为和康复有深远影响的人类心理状态将彻底改变个性化数字医疗保健。检测疲劳、压力和睡眠尤为重要，因为它们相互依存：持续的疲劳会引发认知压力，而慢性压力会损害睡眠质量，形成有害的反馈循环。在此，我们介绍一种无线、柔软、多功能的生物电子系统，可对综合心理状态进行持续实时检测和管理。这种一体化可穿戴设备安装在前额上，可测量临床级别的脑电和心肺信号。这种膜状生物贴片不易察觉、灵活且可重复使用，在检测高保真脑电图、眼电图、脉搏率和血氧饱和度时能为用户提供极致的舒适感。一组针对人类受试者的体内研究表明，这种柔软的设备具有良好的皮肤贴合性且运动伪影最小，即使在睡眠期间，也能在不同活动中获取临床质量的数据。所开发的信号处理方法和深度学习算法可对驾驶困倦、压力状况和睡眠质量进行自动化实时分类。本研究中的生物电子平台有可能彻底改变数字医疗保健，特别是个性化医疗和家庭健康监测。
