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A vein depth recognition method and prompting system

A technology of venous vessels and identification methods, applied in medical science, sensors, diagnostic recording/measurement, etc., to achieve the effect of improving the success rate of puncture

Active Publication Date: 2016-06-29
SHENZHEN VIVOLIGHT MEDICAL DEVICE & TECH CO LTD
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  • Abstract
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Problems solved by technology

[0005] In order to meet the above-mentioned needs of clinical application, while the existing vascular imaging instrument prompts the position of venous blood vessels, the present invention relates to a recognition method and a prompting system of blood vessel depth, which solves the problem of blood vessel depth judgment mentioned in the background technology question

Method used

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  • A vein depth recognition method and prompting system
  • A vein depth recognition method and prompting system
  • A vein depth recognition method and prompting system

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Embodiment

[0063] figure 1 It is a blood vessel depth recognition method according to a preferred embodiment of the present invention, including a machine learning-based regression model training process and a blood vessel depth prediction process.

[0064] The training process of the regression model based on machine learning includes steps: constructing a training image set 101 , extracting a region of interest 102 , extracting features 103 , constructing a training image depth marker set 104 , and training a random forest model 105 . The specific steps of the machine learning-based regression model training process are as follows:

[0065] First construct the training image set and the training image depth marking set: 210 images of veins and blood vessels at different positions and depths in 30 volunteers were irradiated with near-infrared light, and the reflected images were received by a camera to form a training image set; correspondingly, through ultrasound The instrument measur...

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Abstract

The invention relates to a venous blood vessel depth recognition method and a prompting system to solve the problem that the prior art cannot judge the blood vessel depth. The present invention establishes the mapping relationship between image modality and blood vessel depth from the venous blood vessel image itself through the machine learning regression model in machine vision learning, so as to realize the automatic identification of blood vessel depth based on the image, and prompt it in the form of sound and projection Blood vessel depth information enables medical personnel to determine the blood vessel depth while locating blood vessels, accurately grasp the angle of needle insertion, improve the success rate of venipuncture, and reduce the pain caused by venipuncture.

Description

technical field [0001] The invention relates to an auxiliary medical device, in particular to a venous blood vessel depth recognition method and a prompting system. Background technique [0002] In clinical medicine, intravenous infusion is commonly used to deliver medicine to the human body. During intravenous infusion, medical personnel must perform venipuncture. The venipuncture process is generally as follows: firstly, the venous blood vessel is protruded by binding with a tourniquet, and then the medical staff judges the position of the blood vessel and the depth of the blood vessel under the skin by visual inspection and touch on the skin, and finally selects the appropriate needle insertion position and insertion position based on experience. needle angle. The above operations require high professional skills, work experience, and psychological quality of medical staff, especially when dealing with children, obesity, and patients with heavy skin. Since the position a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00
Inventor 朱锐曹一挥米磊
Owner SHENZHEN VIVOLIGHT MEDICAL DEVICE & TECH CO LTD
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