Artery characteristic parameter detection method and artery function and structure detection method

Abstract

The invention discloses an artery characteristic parameter detection method and an artery function and structure detection method. The method comprises the following steps: acquiring data of blood flow velocity change, artery inner diameter change, artery outer diameter change and blood pressure change in an artery in a certain period; calculating to obtain corresponding multiple groups of artery elasticity modulus and artery characteristic parameters; substituting a plurality of groups of artery elasticity moduli and artery characteristic parameters into a pre-established mathematical model to obtain a plurality of equations; and performing fitting on the equations to obtain detection results of the artery function parameters and the artery structure parameters. According to the invention, structural parameters and functional parameters of the artery can be measured noninvasively and quantitatively without depending on a cuff, a plurality of parts can be selected for detection, and the safety, convenience and accuracy of detection are improved.

Description

technical field [0001] The invention relates to the field of arterial detection, in particular to a method for detecting arterial characteristic parameters and a method for detecting arterial function and structure. Background technique [0002] Cardiovascular and cerebrovascular diseases, including atherosclerosis, cerebrovascular sclerosis, and hypertension, are currently one of the factors with the highest mortality rate in the world. Cardiovascular diseases mainly occur in arteries, which are composed of intima, media and adventitia. Among them, the inner membrane has a secretory function, and it mainly secretes nitric oxide molecules to regulate the relaxation of smooth muscle tissue in the middle membrane, while the outer membrane mainly plays a protective role. Vascular lesions include structural changes and functional changes: structural changes are reflected in the hardening of media fibers and smooth muscle tissue, and functional changes are reflected in the weake...

AI Technical Summary

Problems solved by technology

The former cannot evaluate the release of nitric oxide from the endothelium and the relaxation of smooth muscle in response to nitric oxide, but only has the ability to measure the degree of arterial structural stiffness

The latter lacks theoretical guidance and can only qualitatively reflect the functions of endothelium and smooth muscle, resulting in large differences among individuals

In addition, the method for measuring the vasodilation rate under reactive hyperemia is limited to the use of cuff pressurization to induce reactive hyperemia, the operation is complex and lacks standards, and is limited to local detection of upper extremity arteries

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