中心动脉压及其波形特征和时变特性与心血管事件密切相关，临床价值和研究意义重大。然而，目前中心动脉压波形的无创24h连续测量方法尚未建立，制约其临床应用和推广。为此，针对中心动脉压自适应演化规律等科学问题，本项目拟开展：1）研究多尺度闭环心血管系统模型的建立与求解；2）通过构建此模型血压自适应机制，模拟中心动脉压受神经反馈调节时的长短程自适应演化过程，研究脉搏波传播规律；3）利用机器学习方法建立基于脉搏波传导时间和多参数融合的肱动脉压实时估计模型，实现外周动脉脉搏波实时定标和精确稳定测量；4）建立个体化传递函数的传输线理论估计模型和统计学习估计模型，联合定标后的外周动脉脉搏波，实现中心动脉压连续波形的实时重构；5）通过临床实验，验证模型和方法的有效性。本项目研究将有助于揭示心血管系统与脉搏波的相互作用机理和中心动脉压形成与演化规律，为无创24h连续中心动脉压波形测量提供一种新思路和新方法。

Central aortic blood pressure (CABP) and its waveform features and time-variant characteristics are closely related to cardiovascular events. Therefore, CABP has great clinical value and research significance. However, the noninvasive 24-hour continuous measurement method of CABP waveform has not been established currently, which restricts the clinical application and promotion of CABP. In order to establish a new noninvasive measurement method of CABP and solve the scientific problem, such as self-adaptive evolution rules of CABP, this project will focus on: 1) the study of the establish and solvation of a multi-scale and closed-loop model of cardiovascular system; 2) the simulation of the long and short term CABP self-adaptive evolution controlled by reflex regulation of baroreceptor nerves by proposing a blood self-adaptive mechanism, and the study of the rules of pulse wave propagation; 3) the establishment of the estimation method of brachial blood pressures by PTT and multi-parameter combination by using machine learning method, and an accurate calibration of peripheral arterial pulse wave by the estimated brachial blood pressure; 4) the study on establishing the estimation models of individual transfer function (ITF) based on transmission line and statistic learning method, and the reconstruction of continuous CABP waveform by ITF and the calibrated peripheral arterial pulse waveform; 5) the study of clinic trials for the validation of the proposed models and methods. This project will contribute to discover the interaction rule between cardiovascular system and pulse wave, and reveal the formation and evolution laws of CABP and propose a novel idea and new method for the 24h noninvasive measurement of continuous CABP waveform.