Next Article in Journal
Spun Carbon Nanotube Fibres and Films as an Alternative to Printed Electronic Components
Previous Article in Journal
Effect of Residual CaSO4 in Clinker on Properties of High Belite Sulfoaluminate Cement Based on Solid Wastes
Open AccessArticle

Human Respiratory Monitoring Based on Schottky Resistance Humidity Sensors

1
Department of Biomedical Engineering, College of Electronic Information Engineering & Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding 071002, Hebei, China
2
College of Physical Science and Technology, Hebei University, Baoding 071000, Hebei, China
*
Authors to whom correspondence should be addressed.
Materials 2020, 13(2), 430; https://doi.org/10.3390/ma13020430 (registering DOI)
Received: 20 December 2019 / Revised: 15 January 2020 / Accepted: 15 January 2020 / Published: 16 January 2020
Two types of Schottky structure sensors (silicon nanowire (SiNW)/ZnO/reduced graphene oxide (rGO) and SiNW/TiO2/rGO) were designed, their humidity resistance characteristics were studied, and the sensors were applied to detect sleep apnea through breath humidity monitoring. The results show that the resistance of the sensors exhibited significant changes with increasing humidity, the response times of the two sensors within the relative humidity range of 23–97% were 49 s and 67 s, and the recovery times were 24 s and 43 s, respectively. Meanwhile, continuous breathing monitoring results indicate that the sensitivity of the sensors remained basically unchanged during 10 min of normal breathing and simulated apnea. The response of the sensor is still good after 30 days of use. We believe that the Schottky structure composite sensor is a very promising technology for human breathing monitoring.
View Full-Text
Keywords: Schottky structure sensor; resistance humidity sensor; human respiratory monitoring Schottky structure sensor; resistance humidity sensor; human respiratory monitoring
Show Figures

Figure 1

MDPI and ACS Style

Lou, C.; Hou, K.; Zhu, W.; Wang, X.; Yang, X.; Dong, R.; Chen, H.; Guo, L.; Liu, X. Human Respiratory Monitoring Based on Schottky Resistance Humidity Sensors. Materials 2020, 13, 430.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop