Manual recording of blood pressure measurements often leads to delays in healthcare services and creates opportunities for data entry errors. This study aims to design and build an ESP32 microcontroller-based digital blood pressure monitor capable of automatic measurement and real-time data logging through integration with an Android application and Google Sheets. The device utilizes the oscillometric method for the non-invasive detection of systolic and diastolic pressures. Key components include the MPX5050DP pressure sensor, a micro air pump, a solenoid valve, and an OLED display. The system leverages the ESP32's Wi-Fi connectivity to transmit measurement results to a mobile application developed using MIT App Inventor, which subsequently stores the data in a spreadsheet-based database. Technical testing results indicate that the MPX5050DP pressure sensor achieves high accuracy, with an average measurement difference of 0.632 mmHg compared to a standard commercial device. Clinical testing, stratified by age group, yielded average error rates of 3.48% for systolic and 2.28% for diastolic readings among subjects under 50 years of age. Conversely, for the group aged over 50, the average error rates rose to 6.97% for systolic and 5.29% for diastolic readings, a trend attributed to physiological changes such as increased aortic stiffness in the elderly. Overall, the system successfully enables the automated, rapid, and efficient digitization of medical records.
Keywords: Blood Pressure, Digital Blood Pressure Monitor, ESP32, MPX5050DP, Automatic Data Logging, Mobile Application.