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High performance flow-restricted plate sensor with bidirectional sensing ability for smart wearable respiratory monitoring

delete2026-05-01
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PRE
AI
C
Chen, Jianhui
P
Peng, Chang
B
Bao Yang *
L
Licheng Zhou
蒋震宇 (Zhenyu Jiang)
L
Liu, Zejia
L
Liu, Yiping
T
Tang, Liqun
DOI:10.1088/1361-665X/ae65efdelete
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Abstract

Abstract

En 中文
Respiratory diseases have become one of the most prevalent health conditions worldwide. Respiration contains rich physiological and pathological information and smart respiratory monitoring holds numerous promising applications in the fields of medical healthcare, sports, and general wellness. However, existing respiratory monitoring systems are still limited by insufficient accuracy, bulky configurations, and poor wearing comfort. In this study, we developed a novel miniature flow-restricted plate respiratory sensor with bidirectional sensing ability and high sensitivity for quantitative respiratory monitoring. Theoretical models and numerical simulations were developed and utilized to guide the structural design. After structural optimization, the sensor achieves a favorable balance between pressure sensitivity and respiratory resistance. A calibration system was also developed based on multiple piston devices, stepper motors, a camera, and digital image correlation for displacement monitoring. This calibration system can generate both constant and variable airflow to simulate human respiration. Average accuracies of the sensor in terms of ventilation and airflow velocity reach up to 97% under controlled calibration conditions in laboratory settings. A design framework for integrating the proposed sensor into a lightweight and wearable respiratory monitoring platform is established. Multiple scenarios including resting postures, running, and cycling demonstrate the feasibility of this lightweight and wearable respiratory monitoring approach.
Keywords:
smart wearable device
respiratory monitoring
respiratory sensor
ventilation
bidirectional sensing ability

Journal

Smart Materials and Structures cover
Smart Materials and Structures
IF:
3.8
Papers:
8.5K
Citations:
2.5W

Organization

S
south china university of technology
Scholars:
6.5W
Papers: 5.0W
Citations: 85
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