可穿戴计算机
计算机科学
可穿戴技术
新兴技术
风险分析(工程)
医学
人工智能
嵌入式系统
作者
Ming Wang,Junjie Zheng,Ge Zhang,LU Shi-yan,Jinli Zhou
出处
期刊:Biosensors
[Multidisciplinary Digital Publishing Institute]
日期:2025-05-12
卷期号:15 (5): 309-309
被引量:4
摘要
This review highlights the latest developments in wearable electrochemical glucose sensors, focusing on their transition from invasive to non-invasive and minimally invasive designs. We discuss the underlying mechanisms, performance metrics, and practical challenges of these technologies, emphasizing their potential to revolutionize diabetes care. Additionally, we explore the motivation behind this review: to provide a comprehensive analysis of emerging sensing platforms, assess their clinical applicability, and identify key research gaps that need addressing to achieve reliable, long-term glucose monitoring. By evaluating electrochemical sensors based on tears, saliva, sweat, urine, and interstitial fluid, this work aims to guide future innovations toward more accessible, accurate, and user-friendly solutions for diabetic patients, ultimately improving their quality of life and disease management outcomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI