Development of a MEMS-Based Resonant Airflow Sensor for Apnea Detection Using Time-of-Flight Technique

This article introduces a novel micro electromechanical system (MEMS)-based resonant airflow sensor designed specifically for respiration monitoring in application such as obstructive sleep apnea (OSA). The sensor operates based on the time-of-flight (ToF) technique and employs thin-film piezoelectric-on-substrate (TPoS) resonators. The resonators operate at ~25 MHz and are integrated into two oscillator circuits the frequency of which varies with temperature and humidity. By measuring the flight time of the airflow between sensing elements, the sensor can precisely calculate flow rates and velocities. A carefully designed laminar airflow channel is incorporated to maintain nonturbulent flow, which is essential for the accuracy of ToF measurements. Experimental validation demonstrates the sensor’s ability to measure flow rates from 0 to 10 L/min and velocities from 0 to 2 m/s with high precision and linearity with an accuracy as high as 97.85%. These results represent a significant advancement in respiratory monitoring technology, offering a noninvasive and cost-effective solution for home-based detection and management of OSA.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-01-22
DOI
https://doi.org/10.1109/jsen.2025.3529880
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.67

Funders

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article

Development of a MEMS-Based Resonant Airflow Sensor for Apnea Detection Using Time-of-Flight Technique

Reza Abdolvand, Parvin Akhkandi, Hannaneh Mahdavi
1 citations
IEEE Sensors Journal
Non-Invasive Vital Sign Monitoring
0.67
article

Development of a MEMS-Based Resonant Airflow Sensor for Apnea Detection Using Time-of-Flight Technique

Reza Abdolvand, Parvin Akhkandi, Hannaneh Mahdavi
article en
1 citations

Abstract

This article introduces a novel micro electromechanical system (MEMS)-based resonant airflow sensor designed specifically for respiration monitoring in application such as obstructive sleep apnea (OSA). The sensor operates based on the time-of-flight (ToF) technique and employs thin-film piezoelectric-on-substrate (TPoS) resonators. The resonators operate at ~25 MHz and are integrated into two oscillator circuits the frequency of which varies with temperature and humidity. By measuring the flight time of the airflow between sensing elements, the sensor can precisely calculate flow rates and velocities. A carefully designed laminar airflow channel is incorporated to maintain nonturbulent flow, which is essential for the accuracy of ToF measurements. Experimental validation demonstrates the sensor’s ability to measure flow rates from 0 to 10 L/min and velocities from 0 to 2 m/s with high precision and linearity with an accuracy as high as 97.85%. These results represent a significant advancement in respiratory monitoring technology, offering a noninvasive and cost-effective solution for home-based detection and management of OSA.

IEEE Sensors JournalVol. 25(5)
University of Central Florida (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 35%
Non-Invasive Vital Sign Monitoring
0.67
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Development of a MEMS-Based Resonant Airflow Sensor for Apnea Detection Using Time-of-Flight Technique — Reza Abdolvand, Parvin Akhkandi, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS