A Wireless Integrated System for COPD Monitoring Using a High-Sensitivity, Wide-Dynamic Range MEMS Flow Sensor
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.
Authors
- D. L. Yue (ORCID: https://orcid.org/0009-0009-4477-1150)
- Xiaoyi Wang (ORCID: https://orcid.org/0000-0002-6286-3085)
- Huikai Xie (ORCID: https://orcid.org/0000-0002-8393-0021)
- Shujun Cai (ORCID: https://orcid.org/0000-0001-6939-4237)
- Ziqi Liu (ORCID: https://orcid.org/0000-0003-2067-5710)
- Shihong Li (ORCID: https://orcid.org/0009-0007-8522-8176)
Institutions
- Beijing Institute of Technology (CN)
- Capital Medical University (CN)
- Hong Kong University of Science and Technology (HK)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1109/jiot.2025.3595198
- Primary Topic
- Bluetooth and Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Chongqing