Infusion dripping-speed determining method and system based on neural network

A determination method and neural network technology, applied in the field of intelligent medical treatment, can solve the problems of patients' discomfort infusion speed, intelligent medical equipment can not meet the needs of patients, families and society, and affect the treatment effect, so as to achieve the best infusion effect and treatment effect

Active Publication Date: 2017-11-17
FOSHAN UNIVERSITY
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, judging from the current situation in our country, the development of smart medical equipment and technology in our country still cannot meet the needs of patients, families and all aspects of society.
[0003] In medical technology, there is an operation called intravenous infusion, which is the main infusion method at present. Intravenous infusion is not only a very important means of curing diseases, but also a means of supplementing nutrition to the human body, and the infusion spee

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
  • Infusion dripping-speed determining method and system based on neural network
  • Infusion dripping-speed determining method and system based on neural network
  • Infusion dripping-speed determining method and system based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The concept, specific structure and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, features and effects of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative efforts belong to The protection scope of the present invention.

[0029] refer to Figure 1 ~ Figure 3 , in order to make patients achieve the best therapeutic effect during infusion therapy, the invention discloses a method for determining the drip rate of infusion based on a neural network, and the determination method includes the following steps:

[0030] Steps to establish a neural network model: read the existing case information on the case database a...

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 infusion dripping-speed determining method based on a neural network. The method includes the steps of reading existing illness case information in an illness case base, and building a neural network model; detecting physical conditions of a patient who needs infusion at present; inputting the detected physical conditions of the patient and the types of demanded infusion drugs into the neural network model to obtain a theoretical infusion speed value; according to the infusion speed outputted by the neural network model, controlling the actual infusion speed value during the infusion process. According to the infusion dripping-speed determining method, by utilizing multiple pieces of existing illness case information in the illness case base to build the integral neural network model, the neural network model can calculate the optimal theoretical infusion speed value according to the physical conditions of the patient and the types of the demanded infusion drugs, and medical staff can control the actual infusion speed value according to the calculated theoretical infusion speed value to achieve the optimal infusion effect and treatment effect of the patient.

Description

technical field [0001] The present invention relates to the field of intelligent medical technology, more specifically to a neural network-based method and system for determining the infusion drip rate. Background technique [0002] Nowadays, with the rapid development of electronic technology, computer technology and network information technology, it also drives the development of clinical medicine. With the development of the times, hospitals are required to realize informationization, automation and intelligent construction. However, judging from the current situation in our country, the development of smart medical equipment and technology in our country still cannot meet the needs of patients, families and all aspects of society. [0003] In medical technology, there is an operation called intravenous infusion, which is the main infusion method at present. Intravenous infusion is not only a very important means of curing diseases, but also a means of supplementing nutr...

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): A61M5/168G06N3/08G06F19/00
CPCA61M5/16804A61M5/16877A61M5/16886A61M2205/3334G06N3/08
Inventor 孙文雪
Owner FOSHAN UNIVERSITY
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