Vascular condition detection method and apparatus based on heart point fluctuation conduction property

Abstract

The invention discloses a vascular condition detection method and a vascular condition detection apparatus based on a heart point fluctuation conduction property. The method comprises the following steps: making a flexible detection terminal attached to the outer side of the skin of cardiac muscle or vascular wall, dispersing a cardiac muscle or vascular wall detection region into a plurality of preset detection points, and through the active transmitting of ultrasonic wave and the array receiving of ultrasonic echo, implementing multi-dimension detection on point fluctuations or point pulse waves by virtue of back-end inversion; and identifying a vascular conduction property by virtue of a digital signal processing method by taking the plurality of the point fluctuations of the cardiac muscle and the plurality of the point pulse waves in some vascular detection region as multi-input and multi-output signals, decomposing the property so as to obtain a vascular conduction property of some section, and implementing characteristic comparison after characteristic extraction so as to achieve vascular condition and disease prediction and diagnosis. The apparatus comprises a plurality of flexible detection terminals having ultrasonic wave transmitting and receiving capability, a control module and a computation module, wherein transmitting and receiving integrated ultrasonic probe arrays are arranged the flexible detection terminals and the arrays are fixedly arranged on flexible circuit boards.

Description

technical field [0001] The present invention mainly relates to the technical field of pulse wave and blood vessel state detection, in particular to a blood vessel state detection method and device based on heart point fluctuation conduction characteristics. Background technique [0002] Cardiovascular disease is a common disease that seriously threatens human health. Routine inspection items include blood pressure, electrocardiogram, blood routine, blood lipids, and blood sugar. Among them, the electrocardiogram uses the electrodes on the body surface to record the electrical activity change pattern generated by each cardiac cycle of the heart, and traces the rhythm and characteristics of myocardial contraction and expansion according to the electrical activity of the heart, and then judges the health of the heart, which is helpful for the diagnosis of arrhythmia , myocardial ischemia, myocardial infarction and other heart diseases. However, the human body is a good conduct...

AI Technical Summary

Problems solved by technology

The existing detection methods are limited to the analysis of the periodic characteristics of the pulse wave and its changes (without considering the influence of the signal source), and have little involvement in nonlinear distortion; It is also related to the caliber, thickness, blood density, viscosity and other factors of the arterial vessel. Although the existing detection methods can give a rough estimate of the arterial elasticity, they cannot determine the location of the disease, nor can they distinguish the specific cause, that is, attribution Changes in blood viscosity or arteriosclerosis

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