可穿戴计算机
比色法
计算机科学
可视化
数字健康
人机交互
多媒体
嵌入式系统
人工智能
计算机视觉
医疗保健
经济
经济增长
作者
Daeun Sung,Seunghun Han,Sumin Kim,Heeseok Kang,Bon Jekal,Chin Kim Gan,J. L. Kim,Minki Hong,G. J. Moon,Sungeun Kim,Y. S. Lee,Suk‐Won Hwang,Hyoyoung Jeong,Yong‐Sang Ryu,Sungbong Kim,Jahyun Koo
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-03-28
卷期号:11 (13)
标识
DOI:10.1126/sciadv.adu2142
摘要
Recent advancements in wearable sweat sensors, which use standardized electrochemical and colorimetric mechanisms, offer holistic representation of health status for users. However, the constraints of standardized sweat sensors present ongoing challenges to realization of personalized health management. This study presents an electrocolorimetric (EC) platform that enables the reversible and multiple-time use of colorimetric data visualization using electrophoretic display (EPD). This platform represents the application of low-power EPD in epidermal sweat sensor, evaluated through CIELAB-based methodology which is the first systematic evaluation tool of wearable display performance. Moreover, our platform has been demonstrated in human exercise trials for its ability to detect the lactate threshold (LT). This digital colorimetric system has the potential to play a pivotal role by integrating various health monitoring biomarkers. While providing real-time, continuous, and adjustable range information with high sensitivity, this platform validates its extensive probability as a next-generation wearable epidermal sensor.
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