Design and Development of Flex Sensor-Based Respiratory Rate Monitoring System Using Node MCU ESP32
Maria Beatriz M. Mamado | Justine Jay T. Baldomar | Carl John S. Calimpusan | Nikki C. Dolor | John Kenneth C. Labian
Discipline: bioengineering, medical and biomedical engineering
Abstract:
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.
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