Epilepsy data statistical method and device

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

Active Publication Date: 2018-12-14
WEST CHINA HOSPITAL SICHUAN UNIV +1
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  • 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

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  • Epilepsy data statistical method and device
  • Epilepsy data statistical method and device
  • Epilepsy data statistical method and device

Examples

Experimental program
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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...

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Abstract

The embodiment of the invention provides an epilepsy data statistical method and device, and relates to the technical field of data processing. The method comprises the steps: obtaining a temporal signal and a functional connection diagram used for representing the brain activity of the subject; determining the functional feature vector of the brain activity according to the functional connectiondiagram and a functional calculation neural network model and determining the temporal feature vector of the brain activity according to the temporal signal and a temporal calculation neural network model; determining the body state of the subject according to the temporal feature vector and the functional feature vector; and updating the health status to the corresponding health status set of thesubject set and obtaining the proportional data of the health status, the temporal lobe epilepsy status and the drug sensitive epilepsy status of children in the updated health status set. Automaticstatistics and updating of the incidence of epilepsy can be performed through more flexible automatic analysis of the temporal signal and the functional connection diagram for representing the brain activity of the subject.

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

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Application Information

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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
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