Artificial heart-lung machine data recording method based on artificial neural network technology

An artificial neural network and data recording technology, applied in the direction of neural learning methods, biological neural network models, neural architecture, etc., can solve problems such as energy-consuming, complex hospital environment, and the influence of human eye observation data, so as to avoid cumbersome and Inefficiency, the effect of ensuring effectiveness

Active Publication Date: 2022-03-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Recording data manually takes a lot of effort
In addition, the hospital environment is relatively complex, which has a greater impact on human observation data

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
  • Artificial heart-lung machine data recording method based on artificial neural network technology
  • Artificial heart-lung machine data recording method based on artificial neural network technology
  • Artificial heart-lung machine data recording method based on artificial neural network technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0066] figure 1 It is a flow chart of the artificial heart-lung machine data recording method based on the artificial neural network technology of the present invention.

[0067] In this example, if figure 1 Shown, a kind of artificial heart-lung machine data recording method based on artificial neural network technology of the present invention comprises the following steps:

[0068] S1. Obtain images of each screen of the artificial heart-lung machine;

[0069] Number the four screens of the artificial heart-lung machine and record them as A, B, C, and D; use the camera to shoot each screen separately, and shoot 5 upright images for each screen, and the data displayed when each image is taken are different from each other, and finally all the upright images are numbered sequentially as S i , i=1,2,...,20;

[0070] In this embodiment, on the currently commonly used artificial heart-lung machine, there are four touch screens that display parameters. Among them, there is o...

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 an artificial heart-lung machine data recording method based on an artificial neural network technology, and the method comprises the steps: firstly obtaining each screen image of an artificial heart-lung machine, initializing a screen template library and a corresponding segmentation template, building and training a posture estimation network PoseNet, carrying out the posture adjustment of a to-be-detected image through the PoseNet, and carrying out the recognition of the to-be-detected image through the PoseNet. And finally, automatically acquiring monitoring data of the whole process of the artificial heart-lung machine operation through an OCR character recognition technology, encoding the monitoring data according to an HL7 format and transmitting the monitoring data to a hospital information center in real time, so that a hospital can make a real-time response for rescuing a patient.

Description

technical field [0001] The invention belongs to the technical field of artificial heart-lung machine intelligent processing, and more specifically relates to a method for recording data of an artificial heart-lung machine based on artificial neural network technology. Background technique [0002] Medical problems have always been one of the most concerned issues of the people, and cardiovascular diseases and lung diseases have always been a serious threat to human life and health due to their high mortality and high morbidity. According to the "World Health Statistics Report 2020" released by the World Health Organization, non-communicable diseases account for 71% of the total death toll, and the leading cause of death is cardiovascular disease. In addition, the data show that after entering the 21st century, the aging rate of the world has accelerated significantly, and the prevalence of cardiovascular disease risk factors has become obvious, leading to a continuous increa...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/62G06V30/146G06V30/148G06V30/16G06V10/24G06V10/54G06V30/18G06V30/19G06V10/74G06V10/82G06K9/62G06N3/04G06N3/08G16H30/40
CPCG06N3/084G16H30/40G06N3/045G06F18/22Y02P90/30
Inventor 杨路欧阳东谭瑞程序
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products