Abstract: Hemodynamic optimization is key to resuscitation of critically ill patients in intensive medicine. Delayed or improper treatment will inevitably lead to hypoperfusion, tissue hypoxia and multiple organ failure, which affects the patients' outcome. Therefore, early identification of patients at risk and implementation of adequate monitoring and guidance intervention have a profound impact on the results. The key principle of hemodynamic management is to optimize blood flow and oxygen flow according to current tissue metabolism. To achieve this goal, we need to monitor and get blood pressure, cardiac output, organ-specific automatic regulation and tissue microcirculation. However, the clinical monitoring data is huge. At the same time nearly one hundred pieces of data objectively present the pathophysiological state of the patient, and the changes of data at different time periods can describe the progress of the patients' condition. Therefore, the integrated analysis of time/ frequency domain based on millisecond-level high-resolution data will promote the understanding and practice of hemodynamics at microcosmic level, and help to facilitate clearer judgment and more precise treatment of patients' condition.