Development of an Electronic Kit for detecting asthma in Human Respiratory System

• Main Authors: Hong, Cheow Shek, Ahmad Shahrizan, Abdul Ghani, Ismail, Mohd Khairuddin
• Format: Conference or Workshop Item
• Language: English
• Published: IOP Publishing 2018
• Subjects: RZ Other systems of medicine; T Technology (General); TD Environmental technology. Sanitary engineering; TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/20878/1/Development%20of%20an%20Electronic%20Kit%20for%20detecting%20asthma%20in%20human%20respiratory%20system1.pdf; http://umpir.ump.edu.my/id/eprint/20878/; https://doi.org/10.1088/1757-899X/319/1/012040
• Institution: Universiti Malaysia Pahang

In this paper, a prototype of a carbon dioxide (CO2) measurement device is designed to detect and used to monitor asthma patients. Nowadays, capnogram device is widely used in monitoring asthma and asthma related medical services. However, capnogram is very costly and unaffordable for patient especially those who are in low income household. Thus, the proposed device is cost effective, affordable, and produced to detect and monitor the severity of asthma. Meanwhile, flow meter will cause patient to have chest pain as they needed maximum effort to blow in the device. To overcome these limitations, this prototype electronic kit is easy to use and suitable for all range patients. This prototype electronic kit consists of MH-Z14A carbon dioxide (CO2) sensor to detect the concentration of carbon dioxide from the user exhaled air. Arduinomicrocontroller is used to process the data while TFT Display shield is applied for data presentation. In addition, HC-06 Bluetooth module is used to communicate with PC for further analysis of the captured graph. This device was tested with 3 asthmatics and 3 normal users. The results showed that asthmatic user has a different graph pattern compared with normal user and these graphs are clearly differentiated on the device TFT screen. Asthmatic user produces “shark fin”-like pattern whereas normal user produces “square wave”-like pattern. This device has successfully produced distinguished-patterns difference between asthmatic and normal user; therefore, it is suitable for asthma monitoring.