Nowadays, there are many pressure measurement devices available, but they are often large and uncomfortable. This study aimed to design a more accessible device allows working alongside other detection tools to process physiological signals. Blood pressure readings were taken from 10 people (aged 20–60) using an Arduino-based system with a MEMS sensor. The results were valid, as the difference from a standard tensiometer was minimal. Two methods for determining systolic and diastolic pressures were evaluated. The auscultatory method, which detects Korotkoff sounds, was explored by examining the speaker pin of a tensiometer. Although this method only achieved 60% accuracy, analyzing the trend line parameters helped identify inadequate tests. The oscillometric method involves frequent sampling (7692 Hz) to study the oscillatory pressure curve. This method proved to be more reliable, with up to 90% accuracy for tracking blood pressure trends, though minor discrepancies (around 10 units) were found between the program and low-pass filter results. Still, for patients showing discomfort or anxiety, alternative methods are necessary for more precise readings. Despite these promising results, the prototype faced noise and connection errors, making it less reliable. A printed circuit board (PCB) was designed to minimize noise and improve system stability, enhancing the overall functionality and reliability of the device for practical use.