Hypertension is a major factor leading to cardiovascular events and death, and accurate blood pressure measurement is a fundamental means of evaluating blood pressure levels, achieving hypertension diagnosis, and observing antihypertensive efficacy. Compared to traditional brachial pressure, central aortic pressure (CAP) exhibits a stronger correlation with cardiovascular events. However, its non-invasive detection technology has not yet been widely adopted in clinical practice. In order to promote the clinical application of CAP and optimize blood pressure management, this article systematically summarizes the research progress of CAP estimation algorithms. These algorithms were categorized into three types: direct substitution methods, generalized model-based methods and personalized estimation methods. The characteristics and clinical adaptability of each algorithm were analyzed. The findings highlight that CAP estimation algorithms are moving towards personalization and non-linearity.
