A cardiovascular intubation image auxiliary detection device and detection method

Abstract

The invention belongs to the technical field of medical instruments, and discloses a cardiovascular intubation image auxiliary detection device and a detection method. The cardiovascular intubation image auxiliary detection device comprises an image acquisition module, a heart rate detection module, a respiratory frequency detection module, a central control module, a classification module, a datamanagement module, a data storage module and a display module. The invention establishes a new optimized CNN model through a classification module, and then superimposes the boundary map and the segmentation map to form a complete organization structure map, which makes up for the loss of image information caused by the reduction of the output image resolution, has high restoration degree of theorganization structure and better image display effect. At the same time, the data management module establishes different data quality evaluation models according to the data characteristics and datause purposes of different stages, so as to ensure the accurate and effective evaluation of the data quality, and overcome the shortcomings of lacking effective data quality evaluation models in the prior art.

Description

technical field [0001] The invention belongs to the technical field of medical devices, and in particular relates to a cardiovascular intubation image auxiliary detection device and a detection method. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] The heart is a hollow muscular organ located in the middle of the chest cavity, divided into two chambers by a septum, and each chamber is divided into two parts: the upper atrium and the lower ventricle. The atria collect blood from the heart, and the ventricles eject blood from the heart. There are valves at the inlet and outlet of the ventricles that allow blood to flow in one direction. Under different physiological conditions of the human body, the metabolic levels of various organs and tissues are different, and the requirements for blood flow are also different. Cardiovascular activity can change cardiac output and peripheral resistance under th...

AI Technical Summary

Problems solved by technology

Although a certain degree of efficiency has been achieved, there are still some shortcomings: the matching of the algorithm implementation process and visual resolution is not intuitive; the algorithm is complex, resulting in a large amount of data processing and high operating costs; the average analysis of the algorithm leads to important geometric features in the graph. The impact of changes in the overall similarity, resulting in a certain deviation in accuracy and stability

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