无线传感器网络
灵敏度(控制系统)
计算机科学
流量传感器
动态范围
无线
微电子机械系统
航程(航空)
嵌入式系统
实时计算
电子工程
计算机网络
电信
工程类
声学
材料科学
光电子学
航空航天工程
物理
计算机视觉
作者
Shujun Cai,D. L. Yue,Ziqi Liu,Huikai Xie,Yajing Shen,Shihong Li,Xiaoyi Wang
标识
DOI:10.1109/jiot.2025.3595198
摘要
This study presents a wireless, integrated, and portable monitoring system for chronic obstructive pulmonary disease (COPD), featuring a highly sensitive and wide dynamic range MEMS-based flow sensor, alongside a high-accuracy respiratory monitoring algorithm. The flow sensor was fabricated using a CMOS-compatible MEMS process, achieving low power consumption (3.76 mW), high sensitivity (356.32 mV/(m/s)/W), and a wide dynamic range from -16.7 to 16.7 m/s. To meet the requirements of human respiratory monitoring and spirometric evaluation, a bypass channel was incorporated, enabling bi-directional flow measurement with an extended range of 11000 L/min. An abnormal respiration detection algorithm was developed based on critical respiratory parameters, including respiratory cycle, respiratory rate (RR), minute ventilation volume (MVV), and tidal volume (TV). Additionally, an enhanced interpolation method was integrated to improve the accuracy of spirometry testing, facilitating early-stage COPD screening. Experimental validation (1.13% volume error, average percentage error of -2.74% of all spirometry indicators) demonstrated that the proposed portable system delivers performance comparable to conventional, bulky medical spirometers, highlighting its strong potential for convenient, real-time respiratory monitoring and spirometric assessment in COPD management.
科研通智能强力驱动
Strongly Powered by AbleSci AI