A low-power, high-sensitivity CMOS-MEMS flow sensor for respiration health evaluation
In this paper, we present a fast-response thermal flow sensor (TFS) with low power consumption and high sensitivity, fabricated using CMOS-MEMS technology. To enhance sensitivity and reduce power consumption, we propose a lithography-free, self-aligned post-CMOS fabrication process. Characterization results demonstrate that the fabricated flow sensor achieves high thermal efficiency, achieving an overheat temperature rise ( ΔT h ) of 58.76 K while maintaining power consumption below 1 mW. The sensor also exhibits a high normalized sensitivity of 2131 mV m −1 s W −1 , a low minimum detection limit of 0.88 mm s −1 , and a rapid response time of 1.7 ms @ 1.67 m s −1 . The sensor was subsequently incorporated into a Portable Pulmonary Function Monitoring (PPFM) system, incorporating a by-pass channel to enable a broad measurement flow range (±1000 SLM) suitable for medical applications. Leveraging the high-performance sensor and an optimized flow channel design, the PPFM setup achieves an enhanced resolution of 28.5 mL s −1 and a significantly improved volume error of 1.6%. Experimental results validate the efficacy of the proposed TFS and PPFM system, demonstrating its potential as a promising sensing technology for pulmonary disease diagnostics and medical applications, particularly in remote or resource-limited settings.
Authors
- D. L. Yue (ORCID: https://orcid.org/0009-0009-4477-1150)
- Yifeng Wu (ORCID: https://orcid.org/0000-0001-8572-1584)
- 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)
- Wei Xu (ORCID: https://orcid.org/0000-0001-6196-3693)
- Feng Gao (ORCID: https://orcid.org/0000-0002-2396-1360)
- Gai Yang
- Wenbiao Zhou
- Yue Tang (ORCID: https://orcid.org/0000-0002-1685-1593)
Institutions
- Beijing Institute of Technology (CN)
- Zhejiang A & F University (CN)
- Shenzhen University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Chip
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.chip.2025.100172
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00