Low-cost data logger for electrical respiration sensor

Guthrie, James Stuart (2021) Low-cost data logger for electrical respiration sensor. [USQ Project]

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GUTHRIE James dissertation_redacted.pdf

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The monitoring of the human respiration rate can provide crucial information for the early indication of physiological conditions such as hypoxia and hypercapnia as well as aid in the diagnosis and treatment of medical conditions such as asthma, chronic bronchitis, and emphysema.

By integrating electrical sensors, inside a face mask, with a low-cost data logging device it is then possible to have a more sophisticated, automated, and accurate means of monitoring and logging the respiration rate of the wearer in different environments and physiological states. This data can then be presented on its own or used alongside data provided by other breathing monitoring equipment and can be a vital asset to healthcare professionals by aiding in arcuate, reliable, and timely diagnosis.

The low-cost data logging system produced is based on the Arduino platform. Two different sensors were tested, a commercial off-the-shelve sensor and a hand drawn sensor that was made by graphite pencil drawn traces on standard printing paper.

The commercial sensor produced more stable, accurate and repeatable results compared to the hand drawn sensor. Given the low-cost of the commercial sensor and the better performance over the hand drawn sensor, the Arduino data logger paired with the commercially available sensor is shown to be the better complete overall low-cost respiration rate data logging system.

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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Supervisors: Dinh, Toan
Qualification: Bachelor of Engineering (Honours) (Electrical and Electronic)
Date Deposited: 03 Jan 2023 01:35
Last Modified: 26 Jun 2023 01:17
Uncontrolled Keywords: respiration rate, monitor, data, logging, healthcare, Arduino
URI: https://sear.unisq.edu.au/id/eprint/51814

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