血液動力學在了解心血管系統的生理功能及病理狀況中皆發揮重要功能，數值建模方法被視為實現此目的工具之一，過去出於不同的研究目的，提出了各種複雜程度不同的仿真模型。零維模型提供了一種簡便的方法來研究人體整個心血管系統中的狀況，其控制方程為常微分方程，透過幾個收斂標準就能得到一致的解。本研究使用以往文獻所開發出的零維模型，來研究人體循環系統的血液動力學，根據不同疾病病理特徵，透過變更心血管系統中的循環參數值來模擬二尖瓣狹窄及主動脈粥狀硬化，並闡述了二尖瓣狹窄及主動脈粥狀硬化對於身體各項參數在各心動週期中所產生的影響。數值模擬結果表明，輕度、中度、重度二尖瓣狹窄患者在心室充血期之左心房壓力峰值比正常患者分別還高出3.3、6.2、12.1 mmHg。而輕度、重度主動脈粥狀硬化患者在收縮期的左心室及主動脈壓力峰值分別比正常患者還高出36及51 mmHg，左心室峰值瞬時功率分別比正常患者還高出1.6 W及2.15 W；特別的是，主動脈粥狀硬化不僅影響到主動脈生理參數更進一步影響到左心室的壓力及功率。這些血液動力學參數變化具有重要的臨床意義，其變化通常與心血管疾病有關。這些特徵的成功模擬提高了血液動力學模擬的準確性，為不同病例的血液動力學變化有著更全面的理解，有助於促進零維模型建模的未來發展，並為臨床上疾病的治療提供技術輔助。

Hemodynamics plays an important role in understanding the physiological function of the cardiovascular system and numerical modeling approaches are considered as one of the tools to achieve this purpose. In the past, various simulation models of different complexities were proposed for different research purposes. The zero-dimensional model provided a convenient way to study the entire human cardiovascular system. This study employed a zero-dimensional model developed in previous literature to study the hemodynamics of the cardiovascular system by varying the values of circulatory parameters in the cardiovascular system to simulate mitral stenosis and aortic atherosclerosis and described the hemodynamic effects of mitral stenosis and aortic atherosclerosis during the cardiac cycle. In patients with mild, moderate, and severe mitral stenosis, the peak left atrial pressure during the ventricular filling phase was 3.3, 6.2, and 12.1 mmHg higher than that of normal physiology. In patients with mild and severe aortic atherosclerosis, the peak left ventricular and aortic pressures during systole were 36 and 51 mmHg higher than normal physiology, and the peak transient left ventricular power was 1.6 and 2.15 W higher than normal physiology. The simulation of these features enhanced the accuracy of simulations of cardiovascular hemodynamics and provided a more comprehensive understanding of hemodynamics change in different diseases, which could help to facilitate the future development of zero-dimensional modeling and provide technical assistance in the treatment of clinical diseases.

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