Method and system for identifying epileptic waves in brain waves

A technology for epilepsy radio waves and identification methods, applied in the medical field, can solve the problems of easy error identification, complex identification methods, and inability to identify, and achieve the effect of efficient identification

Active Publication Date: 2022-02-25
ZHENGZHOU CENT HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. For the method with high recognition degree, the recognition method is complicated and requires the use of a large amount of computing resources, which causes a large burden on the system;
[0004] 2. The simple identification method i...

Method used

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  • Method and system for identifying epileptic waves in brain waves
  • Method and system for identifying epileptic waves in brain waves
  • Method and system for identifying epileptic waves in brain waves

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specific Embodiment 1

[0039] Such as figure 1 As shown, the present invention provides a method for identifying epileptic electric waves in brain waves, the method comprising the following steps:

[0040] Step 1, obtain the sampling frequency of the brainwave monitoring equipment, and determine the number n of linked lists according to the sampling frequency and the frequency of the epileptiform wave; the epileptiform wave includes sharp wave-like waves, spike-like waves, and slow-wave-like waves; if n≥ 3, then go to step 2, otherwise go to step 3;

[0041] Step 2, read the brain wave data to be identified, put the data into n linked lists alternately, and create n threads, the threads correspond to the linked lists one by one; use the threads corresponding to the linked lists to identify the 3kth The sharp wave in the linked list data, the spike wave in the 3k-1 linked list data, the slow wave in the 3k-2 linked list data; determine the brain wave to be identified according to the identified shar...

specific Embodiment 2

[0060] The present invention also provides a system for identifying epileptic electric waves in brain waves, and the system includes the following modules:

[0061] The calculation module is used to obtain the sampling frequency of the brain wave monitoring equipment, and determine the number n of linked lists according to the sampling frequency and the frequency of the epileptiform wave; the epileptiform wave includes a sharp wave-like wave, a spike-like wave, and a slow-wave-like wave; if n≥3, execute the first identification module, otherwise execute the second identification module;

[0062] The first identification module is used to read the brain wave data to be identified, and put the data into n linked lists alternately, and create n threads, and the threads correspond to the linked lists one by one; using the threads corresponding to the linked lists, Respectively identify the sharp wave in the 3kth linked list data, the spike wave in the 3k-1 linked list data, and th...

specific Embodiment 3

[0071] The present invention also provides a computer-readable storage medium for storing computer program instructions, wherein the computer program instructions implement the method according to Embodiment 1 when executed by a processor.

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Abstract

The invention provides a method for identifying epileptic waves in brain waves, which comprises the following steps of: determining the number n of linked lists according to a sampling frequency and the frequency of epileptic sample waves, alternately putting data into the n linked lists, newly establishing n threads, and enabling the threads and the linked lists to be in one-to-one correspondence; respectively identifying sharp waves in the 3k linked list data, spike waves in the (3k-1) linked list data and slow waves in the (3k-2) linked list data by using threads corresponding to the linked lists; according to the identified sharp waves, the identified spine waves and the identified slow waves, determining sharp waves, spine waves and slow waves in the brain waves to be identified, and according to the position relation of the sharp waves, the spine waves and the slow waves, identifying the sharp waves, the spine waves, the slow waves, the sharp slow waves, the spine slow waves, the multi-sharp slow waves and the multi-spine slow waves in the electroencephalogram. According to the method, the similarity judged according to the distance is improved, and the accuracy and efficiency of epilepsy wave recognition are improved.

Description

technical field [0001] This application relates to the medical field, in particular to the identification of epileptic waves in brain waves. Background technique [0002] Epilepsy, also known as epileptic madness or lamb madness, is a chronic brain disease with an unknown cause. During the onset, the patient's body twitches and foams at the mouth. The onset time is generally a few minutes. After the onset time, the patient will return to normal on its own. Clinically, the diagnosis of epilepsy is generally based on brain waves. Common epilepsy waves include spikes, sharp waves, spike-waves, sharp-waves, multi-spike slow waves, and multi-spike waves. Since the EEG will completely record the patient's EEG information when performing EEG detection, the doctor needs to zoom in and check carefully when checking the EEG, especially for some patients with no obvious symptoms, the inspection process is even more laborious strenuous. Existing EEG recognition methods have the follo...

Claims

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Application Information

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IPC IPC(8): A61B5/372
CPCA61B5/372A61B5/4094
Inventor 张申
Owner ZHENGZHOU CENT HOSPITAL
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