A New Design and Implementation of a Fuzzy Logic Controller for a Blood Gas Meter Using Microcontroller Based on Sensors

Observing human breathing activity has several basic applications in different areas of life. Accurate detection of breathing is critical in the research of regular respiratory of the athletes, detection of drug addicts, and detection of the blood nitrogen ratio of divers and many other areas. Technically this process is difficult due to changes in breathing and other factors. This paper presents and proposes a strategy to design a quantitative respiratory gas analyzer with sensors based on microcontrollers through a fuzzy logic model. The proposed system uses five sensors that will detect different gases such as methane, alcohol, natural gas, carbon monoxide, and hydrogen. These sensors detect the concentration of gases. If the gas concentration is above the permissible exposure limit (PEL), the predefined user will be notified of the gas leak situation. Five groups were formed, each group consists of 40 people so that each group is exposed daily to a type of gases measured by the designed and implemented device. The design is implemented using a microcontroller (ATmega328P); for its lower cost and high efficiency. In our research, the main goal is to obtain the highest-level result in determining the amount of gas in the blood by breathing. Generally, accurate detection of breathing is critical in the search for the regular respiratory system of athletes, drivers, and aviation personnel who are constantly exposed to the gas. This research contributes to providing a low-cost, high-quality portable measurement system and using a new strategy to measure the proportion of gases measured in the blood and to determine an initial diagnosis using the fuzzy logic model. This portable system can be used in homes, hospitals, and tests for drivers, nurses, and pilots.