This study assessed whether a PVDF-TrFE/BTO piezoelectric arterial pressure sensor (PAS) can reliably estimate continuous blood pressure by correlating its voltage output with invasive arterial line measurements. Fifteen adult surgical patients with planned arterial catheterization underwent placement of four PAS sensors along the radial arteries. Signal preprocessing, peak detection, and frequency filtering (0.5–4 Hz) enabled pulse wave velocity (PWV) calculation using the time delay between paired sensors. Derived mean blood pressure (MBP) values were estimated using established PWV–BP equations. Results demonstrated that PAS-derived PWV could feasibly approximate MBP, with sample measurements showing physiologically plausible outputs. However, noisy data, peak detection challenges, and limited demographic variability contributed to overfitting in initial machine-learning attempts, indicating a need for hardware improvements and more diverse training datasets. The findings support continued refinement of PAS-based BP estimation models, with potential to advance wearable, continuous, noninvasive hemodynamic monitoring across clinical settings.