Key result
MATLAB-based interactive simulation accurately classifies blood pressure profiles according to AHA guidelines.
Why the study?
An interactive educational tool for evaluating and classifying blood pressure according to AHA standards was needed to enhance early health education.
A MATLAB App Designer-based interactive simulation can automatically and accurately classify blood pressure according to AHA standards, providing a simple visual tool for early health education.
This study aims to develop an educational application based on a Graphical User Interface (GUI) using MATLAB App Designer that functions as an interactive simulation for evaluating blood pressure. The application allows users to input systolic and diastolic blood pressure values along with supporting information such as name and age. The input data are then analyzed and classified into several blood pressure categories according to the standards of the American Heart Association (AHA), including normal, hypotension, stage 1 hypertension, stage 2 hypertension, and hypertensive crisis. The classification results are presented visually through an interactive pie chart with dynamic percentages and legends to enhance user understanding. In addition, all data are automatically stored in a Microsoft Excel file containing a summary of blood pressure categories and session timestamps. The system is designed with a simple interface and intuitive interaction, making it suitable for early health education purposes. Although the application still relies on manual data input, it has the potential to serve as an effective learning tool for increasing public awareness of the importance of regular blood pressure monitoring.
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Ferawati et al. (2026) studied Hypertension (n=41). Interactive blood pressure simulation application based on MATLAB App Designer was evaluated on Accuracy of blood pressure classification based on American Heart Association (AHA) standards. The MATLAB-based interactive simulation accurately classified 41 blood pressure data inputs according to AHA guidelines, successfully generating dynamic visualizations for health education.
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