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

Detection method, system, electronic device and storage medium for pregnancy induced hypertension

A detection system and technology for pregnancy-induced hypertension, applied in the field of medical research, can solve the problem that the detection method of pregnancy-induced hypertension cannot meet the actual needs and other problems, achieve active intervention and timely treatment, reduce risks and damages, and improve patient experience and satisfaction. Effect

Inactive Publication Date: 2021-02-26
SHANGHAI TENTH PEOPLES HOSPITAL
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The technical problem to be solved by the present invention is to overcome the defect that the detection method of pregnancy-induced hypertension in the prior art cannot meet the actual needs, and the purpose is to provide a detection method, system, electronic equipment and storage medium of pregnancy-induced hypertension

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
  • Detection method, system, electronic device and storage medium for pregnancy induced hypertension
  • Detection method, system, electronic device and storage medium for pregnancy induced hypertension
  • Detection method, system, electronic device and storage medium for pregnancy induced hypertension

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] like figure 1 Shown, the detection method of the pregnancy induced hypertension of the present embodiment comprises:

[0064] S101. Obtain multiple historical fundus images of PIH patients;

[0065] S102. Taking each historical fundus image as input, and the pre-marked training feature points in the historical fundus image as output, establishing a feature point acquisition model;

[0066] Among them, the training feature points correspond to various fundus lesion points in the retinal artery spasm period, retinal arteriosclerosis period or retinopathy period;

[0067] Specifically, the essence of fundus lesions in pregnancy-induced hypertension is hypertension and arteriosclerotic fundus changes caused by acute / chronic blood pressure elevation. For retinal artery spasm stage: retinal arterioles are narrow and vary in thickness; arteries are thin and veins are thick, and the diameter ratio of arteries and veins changes from 2:3 to 1:2-4; for retinal arteriosclerosis s...

Embodiment 2

[0072] like figure 2 As shown, the detection method of pregnancy-induced hypertension in this embodiment is a further improvement to Example 1, specifically:

[0073] Step S101 includes:

[0074] S1011. Acquire a plurality of historical fundus images collected by the fundus camera centering on the optic nerve and macula respectively when performing non-mydriatic fundus photography examination on patients with pregnancy-induced hypertension;

[0075] Step S103 includes:

[0076] S1031 . Acquire the target fundus images collected by the fundus camera when performing non-mydriatic fundus photographic examination on the target patient with the optic nerve and macula as the center respectively.

[0077] Step S102 includes:

[0078] S1021. Taking each historical fundus image as an input and the pre-marked training feature points in the historical fundus image as an output, using a convolutional neural network to establish a feature point acquisition model.

[0079] After step S...

Embodiment 3

[0111] like image 3 As shown, the detection system for PIH in this embodiment includes a historical fundus image acquisition module 1 , a feature point model establishment module 2 , a target fundus image acquisition module 3 and a detection module 4 .

[0112] The historical fundus image acquisition module 1 is used to acquire multiple historical fundus images of patients with PIH;

[0113] The feature point model building module 2 is used to use each historical fundus image as input, and the training feature points marked in advance in the historical fundus image as output, to establish a feature point acquisition model;

[0114] Among them, the training feature points correspond to various fundus lesion points in the retinal artery spasm period, retinal arteriosclerosis period or retinopathy period;

[0115] The essence of fundus lesions in pregnancy-induced hypertension is hypertension and arteriosclerotic fundus changes caused by acute / chronic blood pressure elevation. ...

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 present invention discloses a detection method, system, electronic equipment and storage medium for pregnancy hypertrophy.The training feature points marked pre -marked in the image are used as the output to establish a feature point acquisition model; obtain the target eye image image of the target patient; input the target eye image into the feature point to obtain the model, Determine that the patient patient has the fundus lesions of the gestal hypertension, and then establish an algorithm based on other indicators to determine whether there is a hypertrophy and the prognosis of the disease.The present invention effectively improves the diagnosis and treatment model of pregnancy hypertrophy, realizes early detection, timely, and convenient, and improves the accuracy and efficiency of testing; accurately predicts the risk of disease progress, so as to achieve active intervention in the patient's condition.Handling in time reduces the risk and damage of stood hypertrophy.

Description

technical field [0001] The invention relates to the technical field of medical research, in particular to a detection method, system, electronic equipment and storage medium for pregnancy induced hypertension. Background technique [0002] Hypertensive Disorders in Pregnancy (Hypertensive Disorders in Pregnancy) is a systemic disease unique to pregnancy, which mostly occurs after 20 weeks of gestation. Changes include systemic small vessel spasm, endothelial injury, and local ischemia, which may involve multiple systems, with hypertension, proteinuria, and edema as the main features, and severe cases may develop into eclampsia, and even lead to maternal and fetal death. At present, the incidence rate of pregnancy-induced hypertension in my country is about 9.4%, and the average incidence rate abroad is 7%-12%. The disease seriously affects the health of mothers and infants, and occupies the second place among the causes of maternal and perinatal deaths, and the perinatal mo...

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 Patents(China)
IPC IPC(8): A61B3/12A61B3/14G06N3/04G06N3/08G06T7/00
CPCA61B3/12A61B3/14G06T7/0012G06N3/08G06N3/045
Inventor 高鹏花晓琳徐振东王方金海鹰孙旖陈挺
Owner SHANGHAI TENTH PEOPLES HOSPITAL
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com