Design and Development of Flex Sensor-Based Respiratory Rate Monitoring System Using Node MCU ESP32

Flex sensors are used to measure a patient’s breathing status such as Eupnea, Bradypnea, and Tachypnea, providing respiratory rate data. The main objective of this capstone is to design and develop a device that accurately measures respiratory rate, thereby improving patient care assessment. The system utilized a flex sensor that can accurately detect the expansion and contraction of the chest and abdomen during breathing. This sensor is then used to calculate the respiratory rate, which is displayed in real-time on both the OLED screen and the web server. The OLED screen provides offline monitoring, allowing the respiratory rate and status to be easily viewed in realtime. On the other hand, the web server provides a more comprehensive view of the respiratory rate data, including a graphical representation of the start and end of each breath. The system has demonstrated an accuracy rate of 90.18% in eupnea and 91.03% in tachypnea, with a total accuracy of 93.73%, which is considered very satisfactory. The belt is more efficient when placed on the abdomen compared to the chest, which had an accuracy rate of 91.44% and 89.13%, and an overall efficiency rate of 90.29% and is interpreted as very satisfactory. This Flex Sensor-Based Respiratory Rate Monitoring System provides a reliable method for measuring respiratory rate, allowing medical personnel to obtain accurate baseline data for assessing a patient’s respiratory function. The high accuracy rate aids in informed decision-making, enhancing patient care practices and leading to better health outcomes.