A Wireless Integrated System for COPD Monitoring Using a High-Sensitivity, Wide-Dynamic Range MEMS Flow Sensor

Shiqian Cai, Daishan Yue, Ziqi Liu, Huikai Xie, Yajing Shen, Shihong Li*, Xiaoyi Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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 ±1000 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.

Original languageEnglish
Pages (from-to)42590-42598
Number of pages9
JournalIEEE Internet of Things Journal
Volume12
Issue number20
DOIs
Publication statusPublished - 2025
Externally publishedYes

Keywords

  • chronic obstructive pulmonary disease (COPD)
  • flow sensor
  • IoT
  • MEMS
  • respiration monitoring
  • spirometry

Fingerprint

Dive into the research topics of 'A Wireless Integrated System for COPD Monitoring Using a High-Sensitivity, Wide-Dynamic Range MEMS Flow Sensor'. Together they form a unique fingerprint.

Cite this