材料科学
压力传感器
信号(编程语言)
解耦(概率)
数据采集
脉搏(音乐)
血压
持续监测
碳纳米管
生物医学工程
声学
远程病人监护
耐久性
脉冲压力
复合数
脉冲波
计算机科学
信号处理
无线传感器网络
传感器阵列
脉搏率
状态监测
电子工程
光电子学
作者
Pan Y,Binghua Zou,H H. Chen,Dijie Yao,Jingyu Zhu,H M Xu,Ruijie Xie,Xuchun Gui,Kai Tao,Zhan-Peng Huang,Pengchao Zhang,Shaowu Pan,Kai Qian,Fengwei Huo,J I A H U I Wu
标识
DOI:10.1002/adfm.202532013
摘要
ABSTRACT Continuous, accurate blood pressure monitoring is critical for preventing and diagnosing hypertension‐related diseases. However, current continuous monitoring devices are bulky and expensive, restricting their widespread use in early diagnosis. Furthermore, existing pulse‐based sensing systems overlook user challenges in wearing comfort, pulse positioning, and susceptibility to acquisition conditions. Here, we develop a breathable, accurate, and integrated blood pressure monitoring system based on a flexible pressure sensor array, which is fabricated by patterned carboxylated carbon nanotube functionalized leather hierarchical composites. This array not only achieves high pulse sensing performance, featuring high fidelity, long‐term durability (> 7 months), rapid response (70 ms) and recovery time (60 ms), but also retains the inherent moisture permeability (8.3 g•m − 2 •h − 1 ) and degradability of leather. Meanwhile, the sensor array is crosstalk‐free and can significantly improve the success rate of pulse signal acquisition positioning. It features dynamic‐static dual‐parameter pressure sensing, and when combined with signal acquisition circuitry, enables decoupling pulse wave signals and wearing pressure from a single sensor—providing richer data for more accurate blood pressure estimation. Integrated with a trained neural network for blood pressure estimation, the AI‐empowered system enables continuous, accurate, and reliable monitoring, highlighting its potential in personalized health management and early hypertension diagnosis.
科研通智能强力驱动
Strongly Powered by AbleSci AI