Epilepsy data statistics method and device

A data statistics and epilepsy technology, applied in the field of data processing, can solve problems such as inflexibility

Active Publication Date: 2021-04-09
WEST CHINA HOSPITAL SICHUAN UNIV +1
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current statistical method can only determine the incidence rate of the area by counting the number of patients diagnosed by doctors in the area, but this method is not flexible enough, and it needs to rely on real-time records of the doctor's diagnosis results to ensure the accuracy of the data sex

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
  • Epilepsy data statistics method and device
  • Epilepsy data statistics method and device
  • Epilepsy data statistics method and device

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0051] see figure 1 , the embodiment of the present application provides an electronic device 10, and the electronic device 10 may be a terminal device or a server. Wherein, the terminal device can be a personal computer (personal computer, PC), a tablet computer, a smart phone, a personal digital assistant (personal digital assistant, PDA), etc.; the server can be a network server, a database server, a cloud server, or consist of multiple sub-servers server integration etc.

[0052] In this embodiment, the electronic device 10 may include: a memory 11 , a communication module 12 , a bus 13 and a processor 14 . Wherein, the processor 14 , the communication module 12 and the memory 11 are connected through a bus 13 . The processor 14 is used to execute executable modules, such as computer programs, stored in the memory 11 . figure 1 The components and structure of the electronic device 10 shown are only exemplary, not limiting, and the electronic device 10 may also have othe...

no. 2 example

[0058] see figure 2 , this embodiment provides a statistical method for epilepsy data, which is applied to electronic equipment, and the method for statistical data of epilepsy includes: step S100, step S200, step S300 and step S400.

[0059] Step S100: Obtain time-series signals and functional connection diagrams used to represent brain activities of the subject.

[0060] Step S200: Determine the functional feature vector of the brain activity according to the functional connection diagram and the functional computing neural network model, and determine the timing of the brain activity according to the timing signal and the timing computing neural network model Feature vector.

[0061] Step S300: According to the time-series feature vector and the functional feature vector, determine that the physical state of the subject is a healthy state, a temporal lobe epileptic state or a child drug-sensitive epileptic state.

[0062] Step S400: Update the health status to the health...

no. 3 example

[0095] see image 3 , the embodiment of the present application provides an epilepsy data statistics device 100, which is applied to electronic equipment, and the epilepsy data statistics device 100 includes:

[0096] Obtaining module 110, configured to obtain time-series signals and functional connection diagrams used to represent brain activities of the subject.

[0097] The calculation module 120 is configured to determine the functional feature vector of the brain activity according to the functional connection diagram and the functional calculation neural network model, and determine the brain activity vector according to the time series signal and the time series calculation neural network model. The temporal feature vector of the activity.

[0098] The determining module 130 is configured to determine the subject's physical state as a healthy state, a temporal lobe epileptic state or a child drug-sensitive epileptic state according to the time series feature vector and...

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 embodiment of the present application provides a method and device for statistics of epilepsy data, which relate to the technical field of data processing. The method includes: obtaining time-series signals and functional connection diagrams used to represent brain activities of the subject; determining the functional feature vectors of the brain activities according to the functional connection diagrams and the functional computing neural network model, and determining the functional feature vectors of the brain activities according to the Time series signal and time series calculation neural network model, determine the time series feature vector of the brain activity; determine the physical state of the subject according to the time series feature vector and the function feature vector; update the health status to the subject In the health status set corresponding to the test subject set, the proportion data of health status, temporal lobe epilepsy status and childhood drug-sensitivity epilepsy status in the updated health status collection were obtained. It can be more flexible and automatically update the incidence of epilepsy through the automatic analysis of the time-series signals and functional connection diagrams representing the brain activities of the subjects.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular, to a method and device for statistics of epilepsy data. Background technique [0002] Epilepsy is the second most common disease in neurology after headache. Due to the increasing number of patients, the research on epilepsy has gradually gained people's attention. [0003] In the study of epilepsy, statistics of the temporal lobe epilepsy status in epilepsy and the incidence of drug-sensitive epilepsy in children in a certain area are one of the important factors in the study of epilepsy. The current statistical method can only determine the incidence rate of the area by counting the number of patients diagnosed by doctors in the area, but this method is not flexible enough, and it needs to rely on real-time records of the doctor's diagnosis results to ensure the accuracy of the data sex. Contents of the invention [0004] The present application aims to prov...

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): G16H50/70G06K9/62A61B5/055A61B5/00
CPCA61B5/055A61B5/4094G16H50/70A61B5/7264G06F18/241
Inventor 刘凌章毅王晗陈思翰
Owner WEST CHINA HOSPITAL SICHUAN UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap