4.6 Article

Paper-Based Humidity Sensor for Respiratory Monitoring

Journal

MATERIALS
Volume 15, Issue 18, Pages -

Publisher

MDPI
DOI: 10.3390/ma15186447

Keywords

paper-based humidity sensor; respiratory monitoring; paper humidity sensing model; oral breathing; nasal breathing; sleep-related respiratory disorders

Funding

  1. National Key R&D Program of China [2020YFC2004400]
  2. Fundamental Research Funds for the Central Universities [YWF-22-L-622]
  3. Hygiene and Health Development Scientific Research Fostering Plan of Haidian District Beijing [HP2021-11-50102]
  4. National College Students Innovation and Entrepreneurship Training Program [202010006042]

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This study proposes a flexible, low-cost, and easy-processing paper-based humidity sensor for sleep respiratory monitoring. It achieved high sensitivity and good repeatability, and demonstrated the ability to distinguish between different respiratory patterns and breathing modes.
Flexible respiratory monitoring devices have become available for outside-hospital application scenarios attributable to their improved system wearability. However, the complex fabrication process of such flexible devices results in high prices, limiting their applications in real-life scenarios. This study proposes a flexible, low-cost, and easy-processing paper-based humidity sensor for sleep respiratory monitoring. A paper humidity sensing model was established and sensors under different design parameters were processed and tested, achieving high sensitivity of 5.45 k omega/%RH and good repeatability with a matching rate of over 85.7%. Furthermore, the sensor patch with a dual-channel 3D structure was designed to distinguish between oral and nasal breathing from origin signals proved in the simulated breathing signal monitoring test. The sensor patch was applied in the sleep respiratory monitoring of a healthy volunteer and an obstruct sleep apnea patient, demonstrating its ability to distinguish between different respiratory patterns as well as various breathing modes.

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