Method, device and terminal equipment for detecting risk of Alzheimer's disease

A risk and risk assessment technology, applied in the computer field, can solve problems such as poor accuracy and low efficiency of risk assessment, and achieve the effect of improving accuracy, improving risk assessment efficiency, and outputting accurate results

Active Publication Date: 2020-07-14
INST OF APPLIED MATHEMATICS HEBEI ACADEMY OF SCI
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiments of the present invention provide a method, device and terminal equipment for detecting the risk of Alzheimer's disease, so as to solve the problem of low efficiency and poor accuracy in the risk assessment of Alzheimer's disease in the prior art. question

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
  • Method, device and terminal equipment for detecting risk of Alzheimer's disease
  • Method, device and terminal equipment for detecting risk of Alzheimer's disease
  • Method, device and terminal equipment for detecting risk of Alzheimer's disease

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0026] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0027] In one embodiment, such as figure 1 as shown, figure 1 It shows the flow of a method for detecting the risk of Alzheimer's disease provided by the embodiment of the present invention, and the process is detailed as follows:

[0028] S101: Obtain the EEG data c...

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 is applicable to the technical field of computers, and provides a method, a device and terminal equipment for detecting risk of Alzheimer's disease (AD). The method includes: acquiring electroencephalogram data corresponding to N channels of a subject; calculating a global energy spectrum according to the electroencephalogram data corresponding to each channel, and determining microstate characteristics of a preset category according to the global energy spectrum and the electroencephalogram data of each channel; marking the micro-state feature corresponding to each time point according to global field power corresponding to each time point in the global energy spectrum to obtain a global feature; and inputting the global characteristics and the electroencephalogram data intoa deep convolution neural network model to obtain an Alzheimer's disease risk evaluation result of the subject. The method, device and terminal equipment comprehensively consider the voltage amplitude change information of the electroencephalogram data and the spatial topology information of the global feature, can make the output result of the deep convolutional neural network model more accurate, can not only improve efficiency of Alzheimer's disease risk assessment, but also improve accuracy of the Alzheimer's disease risk assessment result.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a method, device and terminal equipment for detecting the risk of Alzheimer's disease. Background technique [0002] Alzheimer's disease (AD) is a common degenerative disease of the central nervous system. Its clinical manifestations are cognitive decline, memory loss, and difficulty in concentrating, which seriously affects its daily life, and is accompanied by brain atrophy. [0003] At present, EEG is usually used as the basis for the diagnosis of Alzheimer's disease in medicine. EEG has high temporal resolution and is relatively cheap. Doctors usually give risk assessment results based on experience for the obtained EEG. This method It requires a lot of clinical accumulation by doctors, and the processing efficiency is slow and the accuracy is low. Contents of the invention [0004] In view of this, the embodiments of the present invention provide a method, ...

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): A61B5/00A61B5/0476
CPCA61B5/4088A61B5/7264A61B5/369
Inventor 史玉盼冯春雨黎彤亮李晓云王怀瑞黄世中
Owner INST OF APPLIED MATHEMATICS HEBEI ACADEMY OF SCI
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