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Electroencephalogram data storage and transmission method and system based on neural network

A technology of data storage and neural network, applied in sensor, medical science, diagnostic recording/measurement, etc., can solve the problem of low security, achieve the effect of improving security, improving accuracy and fault tolerance

Inactive Publication Date: 2021-11-19
WEIFANG MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] EEG can reflect the patient's condition information, which belongs to the patient's privacy, and requires high security in the process of transmission and storage; but at this stage, the main method of storing and transmitting EEG is directly based on the patient's brain wave data signal or EEG images, the security is low

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  • Electroencephalogram data storage and transmission method and system based on neural network

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Embodiment 1

[0023] This embodiment provides a method for storing and transmitting EEG data based on a neural network, and the implementation process of the method is as follows: figure 1 As shown, specifically, the method includes:

[0024] 1) Obtain the scalp electrode EEG of epilepsy patients, and use the peak or trough point as the dividing point to divide each brain wave in the EEG into wavelets.

[0025] For epileptic patients, when collecting the patient's scalp electrode EEG, based on multiple electrodes on the scalp, an EEG containing multiple brain waves can be obtained. For each brain wave, the peak or trough point is used as the dividing point pair Brainwaves are divided into subwaves. In the embodiment, the crests are divided into subwaves by dividing points. Specifically, two adjacent valley points and all the continuous black pixels between the brainwaves are a section of subwaves; After the wave is divided, N sub-waves are obtained, and the sub-waves are labeled according ...

Embodiment 2

[0058] Based on the same inventive concept as the above-mentioned method embodiment, this embodiment provides a neural network-based EEG data storage and transmission system, specifically, the system includes: a memory, a processor, and stored in the memory and can be stored in the memory A computer program running on the processor, when the computer program is executed by the processor, the steps of the neural network-based EEG data storage and transmission method are realized.

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Abstract

The invention provides an electroencephalogram data storage and transmission method and system based on a neural network, and the method comprises the steps: carrying out the wavelet division of a brain wave through employing a wave crest or trough point as a division point; acquiring first association information and second association information between any two wavelets based on the amplitude and length of the wavelets, and acquiring third association information between any two wavelets based on the type of the wavelets; generating an HSV image, wherein hue values, lightness values and saturation values of pixel positions in the i row and the j column in the HSV image are first association information, second association information and third association information between the i wavelet and the j wavelet respectively; and storing and / or transmitting the compressed HSV image. The brain wave data of the patient is encrypted twice, and the storage and transmission safety of the brain wave data is improved.

Description

technical field [0001] The invention relates to the field of EEG signal processing, in particular to a neural network-based EEG data storage and transmission method and system. Background technique [0002] EEG can reflect the patient's condition information, which belongs to the patient's privacy, and requires high security in the process of transmission and storage; but at this stage, the main method of storing and transmitting EEG is directly based on the patient's brain wave data signal Or EEG images, the security is low. Contents of the invention [0003] In order to solve the above problems, the present invention proposes a neural network-based EEG data storage and transmission method, the method comprising: [0004] Use the peak or trough point as the division point to divide the brain wave into wavelets; obtain the first correlation information and the second correlation information between any two wavelets based on the amplitude and length of the wavelets, and ob...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/372A61B5/00
CPCA61B5/372A61B5/7264A61B5/7232A61B5/7235
Inventor 李晓双王晓莉徐肖芹
Owner WEIFANG MEDICAL UNIV