Blood flow simulation model of cerebral vessels under simulated weightlessness condition

Abstract

The invention discloses a blood flow simulation model of cerebral vessels under the simulated weightlessness condition, and belongs to the technical field of physiologic signal simulation. The model comprises an aorta canal, an brachiocephalic artery canal, a carotid canal, a subclavian artery canal, a vertebrarterial canal, an internal carotid canal, an external carotid artery canal, a basilar artery canal, an arteria cerebri media canal, an arteria cerebri anterior canal, a posterior cerebral artery canal, an anterior communicating artery canal and a posterior communicating artery canal, wherein the aorta canal, the brachiocephalic artery canal and the subclavian artery canal form a systemic circulation arterial rete; blood flows from the systemic circulation arterial rete to the carotidcanal and the vertebrarterial canal, then flows into a cerebral circulation arterial rete formed by the internal carotid canal, the external carotid artery canal, the basilar artery canal, the arteria cerebri media canal, the arteria cerebri anterior canal, the posterior cerebral artery canal, the anterior communicating artery canal and the posterior communicating artery canal; and the tail end of the cerebral circulation arterial rete is the downstream of the arteria cerebri media canal, the downstream of the arteria cerebri anterior canal, and the downstream of the posterior cerebral arterycanal. Through the adoption of the blood flow simulation model disclosed by the invention, the analysis of the interaction of the arterial blood flow of the systemic circulation and the cerebral circulation is deeper.

Description

technical field [0001] The invention belongs to the technical field of physiological signal simulation, in particular to a simulation model for simulating cerebral blood flow under the condition of weightlessness. Background technique [0002] Physiological signal simulation technology refers to establishing a mathematical expression that can describe the generation and propagation of physiological signals based on the simplification and assumptions of the generation and propagation mechanism of physiological signals, and obtaining a positive definite solution with physiological significance. This technology can provide a technical platform for the research and analysis of physiological signals, and various simulation experiments can be carried out on this platform to study the characteristics of real systems. [0003] At present, this method has been applied in many fields, showing advantages that other experimental methods cannot match, such as predicting the system respon...

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Problems solved by technology

[0008] In addition, the current model does not take into account the effect

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