可穿戴计算机
可穿戴技术
计算机科学
灵活性(工程)
持续监测
个性化
医疗保健
分析
大数据
纳米技术
系统工程
风险分析(工程)
数据科学
嵌入式系统
材料科学
工程类
医学
统计
运营管理
数学
万维网
经济
经济增长
操作系统
作者
Kang Wang,Wenjing Liu,Jingzhi Wu,Heng Li,Hai Peng,Junhui Zhang,Ke Ding,Xiaoxing Wang,Chengyi Hou,Hong Zhang,Yang Luo
标识
DOI:10.1021/acsami.4c22054
摘要
The advancements in wearable sensor technology have revolutionized noninvasive body fluid monitoring, offering new possibilities for continuous and real-time health assessment. By analyzing body fluids such as sweat, saliva, tears, and interstitial fluid, these technologies provide painless diagnostic alternatives for detecting biomarkers such as glucose, electrolytes, and metabolites. These sensors play a crucial role in early disease detection, chronic condition management, and personalized healthcare. Recent innovations in flexible electronics, microfluidic systems, and biosensing materials have significantly improved the accuracy, reliability, and integration of sensors into everyday textiles. Moreover, the convergence of artificial intelligence and big data analytics has enhanced the precision and personalization of health monitoring systems, transforming wearable sensors into powerful tools for health holographic inspection. Despite significant progress, challenges remain, including improving sensor stability in dynamic environments, achieving real-time data transmission, and covering a broader range of biomarkers. Future research directions focus on enhancing material sustainability through green synthesis, optimizing sampling techniques, and leveraging machine learning to further improve sensor performance. This Review highlights the transformative potential of wearable sensors in medical applications, aiming to bridge gaps in healthcare accessibility and elevate the standards of patient care through noninvasive continuous monitoring technologies.
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