Patient-Specific Blood Pressure Estimation Using Elastography-Integrated Arterial Tonometry: Design, Development, and Experimental Evaluation in a Phantom Model

Abstract Accurate assessment of arterial blood pressure (BP) and vascular stiffness is critical for diagnosing and monitoring car-diovascular disease. Arterial tonometry enables direct pulse wave acquisition and has been widely explored for noninvasive, wearable BP estimation. However, tonometry-based approaches typically rely on generalized arterial biomechanical parameters that exhibit substantial intersubject variability and can limit accuracy, particularly in pathological conditions. To address this limitation, we present a hybrid sensing framework that integrates shear wave elastography (SWE) with arterial tonometry to enable patient-specific biomechanical parameterization. The pro-posed device simultaneously acquires arterial stiffness metrics and pulse pressure waveforms, which are incorporated into a validated physics-driven model for continuous BP estimation. By combining elastography-derived mechanical priors with direct pulse wave measurements, this approach improves personalization and physiological fidelity of noninvasive BP monitoring. The proposed hybrid system demonstrates the potential for more accurate, patient-specific, and continuous blood pressure assessment, with implications for wearable cardiovascular monitoring and precision diagnostics.