Environment-friendly wearable thermal flow sensors for noninvasive respiratory monitoring

Dinh, Toan ORCID: https://orcid.org/0000-0002-7489-9640 and Phan, Hoang-Phuong and Qamar, Afzaal and Nguyen, Tuan-Khoa and Woodfield, Peter and Zhu, Yong and Nguyen, Nam-Trung and Dao, Dzung Viet (2017) Environment-friendly wearable thermal flow sensors for noninvasive respiratory monitoring. In: 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS 2017), 22-26 Jan, 2017, Las Vegas, United States.


Abstract

We report on a low-cost, environmentally friendly and wearable thermal flow sensor for non-invasive monitoring of human respiration. The sensor can be manufactured in-house using pencil graphite as a sensing hot film and biodegradable printing paper as a substrate, without using any toxic solvents or cleanroom facilities. The hot film flow sensor offers excellent characteristics such as high sensitivity, high signal-to-noise response to airflow and outstanding long-term stability. We further demonstrate a patch-type wearable sensor for monitoring human respiration. The results indicate that the sensor may be utilized to medically monitor sleep quality and other personal health concerns.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Date Deposited: 02 Sep 2020 06:35
Last Modified: 30 Sep 2020 05:48
Uncontrolled Keywords: Sensor phenomena and characterization, Temperature sensors, Monitoring, Graphite, Sensitivity
Fields of Research (2008): 09 Engineering > 0913 Mechanical Engineering > 091306 Microelectromechanical Systems (MEMS)
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: https://doi.org/10.1109/MEMSYS.2017.7863578
URI: http://eprints.usq.edu.au/id/eprint/38192

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