可穿戴计算机
解耦(概率)
信号(编程语言)
可穿戴技术
环境监测
计算机科学
纳米技术
环境科学
材料科学
工程类
嵌入式系统
控制工程
环境工程
程序设计语言
作者
Qisong Jia,Wenhao Ye,Chang Zhang,Zhuoyi Jia,Ji Liu,T.H. Wang,Liupeng Zhao,Yongshun Liu,Chen Wang,Peng Sun,Zhiyong Fan,Geyu Lu
出处
期刊:Nano Letters
[American Chemical Society]
日期:2025-06-04
卷期号:25 (24): 9726-9733
被引量:20
标识
DOI:10.1021/acs.nanolett.5c01881
摘要
), epidermal temperature monitoring (25-50 °C, sensitivity of 0.22%/°C), and arterial pulse waveform analysis (P-T-D peak resolution). A hybrid neuroevolutionary algorithm (GA-BP) decouples photo-gas interference, reducing quantification errors to <3.5%. Flexible electronics and selective encapsulation (PDMS, PET shielding) ensure mechanical durability and accurate signal acquisition. The platform demonstrates multifunctional capabilities that enable point-of-care health and environmental monitoring, bridging personalized diagnostics with exposure assessment.
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