可穿戴计算机
晶体管
多路复用
生物传感器
计算机科学
可穿戴技术
可靠性(半导体)
串扰
材料科学
纳米技术
嵌入式系统
电子工程
信号处理
远程病人监护
信号(编程语言)
生物医学工程
场效应晶体管
医疗器械
作者
Changyi Zeng,Chenglin Li,Mancheng Li,Chen Chen,C. H. Liu,Songjia Han
标识
DOI:10.1109/jsen.2025.3647151
摘要
Chronic non-healing wounds have emerged as one of the most significant and rapidly expanding clinical complications globally. The accurate, prompt, and early detection of multiple wound-healing biomarkers associated with infection, play a pivotal role in enhancing the treatment and care of such wounds. This study presents an organic electrochemical transistor (OECT)-based wearable bioelectronic system specifically designed for the combined sensing of multiple biomarkers in chronic wounds. The platform integrates an OECT sensor array, a multi-channel analog signal processing control circuit, and a mobile application for real-time visualization of detection results. The system enables the simultaneous monitoring of glucose, lactic acid, uric acid, and calcium ion concentrations in wound exudate. This design fills the gap that traditional single-biomarker detection cannot fully reflect the wound healing status. Additionally, by leveraging machine learning algorithms, it effectively mitigates signal crosstalk among different analytes, significantly enhancing the detection accuracy and ensuring the reliability and precision of the monitoring results. This system not only provides multi-dimensional quantitative evidence for the early detection and prevention of wound infections and deterioration but also offers a proactive approach to managing chronic non-healing wounds, thereby significantly reducing the associated health risks and improving patient outcomes, providing an innovative paradigm for the clinical translation of multi-biomarker applications in the wearable medical field.
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