Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Hand vein blood vessel depth detection device and method based on binocular principle

A venous blood vessel and depth detection technology, applied in the field of medical devices, can solve the problems of unable to provide three-dimensional images, staying at two-dimensional level, and unable to provide depth information of venous blood vessels.

Pending Publication Date: 2020-08-18
SHANDONG JIAOTONG UNIV
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the medical field of disease detection, common medical imaging instruments include ultrasound and X-rays. X-ray imaging equipment also requires a specific installation space. This large-scale equipment is used to detect diseases in deeper parts of the human body. Due to factors such as unclear vein imaging, this type of equipment cannot meet the medical needs of intravenous injection
Although the existing infrared imaging technology is developing rapidly in the medical field, it still has some shortcomings, mainly in that the existing shallow imaging technology only stays at the two-dimensional level, and cannot provide three-dimensional images. Imaging technology only provides medical staff with the specific location of the vein, but not the depth information of the vein vessel

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hand vein blood vessel depth detection device and method based on binocular principle
  • Hand vein blood vessel depth detection device and method based on binocular principle
  • Hand vein blood vessel depth detection device and method based on binocular principle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] like Figure 1 to Figure 6 As shown, a hand vein blood vessel depth detection device based on the binocular principle includes a near-infrared light source module 1, an image acquisition module 2, an image processing module 3 and a housing 4, the near-infrared light source module 1, the image acquisition module 2 , the image processing module 3 are all supported on the shell 4 .

[0067] like Figure 1 to Figure 6 As shown, the near-infrared light source module 1 includes a short-wave near-infrared light source 101, a long-wave near-infrared light source 102, a short-wave near-infrared optical switch 103, a long-wave near-infrared optical switch 104, and a light source power controller 105. The housing 4 is provided with The first support rod 106 and the third support rod 108, the first support rod 106 is symmetrically provided with two, the first support rod 106 and the third support rod 108 lower ends are installed on the shell 4, and the first support rod 106 lower ...

Embodiment 2

[0113] A hand vein blood vessel depth detection method based on the binocular principle, using the detection device described in any one of claims 1 to 4, comprising the following steps:

[0114] 1) Turn on the device, let the person to be tested hold the infrared light source tightly, and stick a thin reflective strip on the skin surface of the blood vessel of the hand to be tested, which reflects infrared light or has an absorption coefficient completely different from that of blood vessels;

[0115] 2) Turn on the short-wave near-infrared light source and set the light source power to the lowest;

[0116] 3) Turn on the image acquisition module, observe the image, and adjust the power of the light source;

[0117] 4) Multi-angle shooting calibration board, camera calibration of the first camera and the second camera in MATLAB;

[0118] 5) Use the image acquisition module to extract the hand skin image data of the first camera and the second camera;

[0119] 6) Use the med...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a hand vein blood vessel depth detection device based on a binocular principle. The device comprises a near-infrared light source module, an image acquisition module, an imageprocessing module and a shell, the near-infrared light source module, the image acquisition module and the image processing module are all supported on the shell, and the hand skin depth and the handvein blood vessel depth can be measured through near-infrared light short-wave band and long-wave band irradiation.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a hand vein blood vessel depth detection device and detection method based on the binocular principle. Background technique [0002] Vein imaging technology plays an important role in biomedicine and feature recognition. In medical treatment, vein imaging technology has been developed rapidly. Relevant data prove that the success rate of the first two intravenous punctures in children is only 42%, and the success rate of the first intravenous puncture in adults is only 73%. After investigation, the reasons for the failure of intravenous injection are composed of various reasons: the fluid injected intravenously leaked from the puncture site, causing 23%-28% of edema at the puncture site, and 10.87% of the time the puncture failed to see blood. The poor quality of the patient’s veins is caused by many factors, such as poor elasticity of blood vessels, thin blood vessels,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/00G06K9/20G06T5/00G06T7/55G06T7/80G06T17/00H04N5/33H04N13/239A61B5/00
CPCH04N5/33G06T7/80G06T17/00H04N13/239G06T7/55A61B5/0062A61B5/0064A61B5/7203G06V40/10G06V40/14G06V10/147G06T5/70
Inventor 张广渊高晓楠王康王朋李克峰赵峰
Owner SHANDONG JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products