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Bidirectional coupling analysis method of EEG in epilepsy based on symbolic permutation transfer entropy

A technology of two-way coupling and analysis method, applied in sensors, medical science, diagnosis, etc., can solve problems such as few brain channels

Active Publication Date: 2022-02-22
HANGZHOU DIANZI UNIV
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Problems solved by technology

At present, there are few literatures on the synchronization and correlation between brain channels in patients with epilepsy, and further research and analysis are needed

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  • Bidirectional coupling analysis method of EEG in epilepsy based on symbolic permutation transfer entropy
  • Bidirectional coupling analysis method of EEG in epilepsy based on symbolic permutation transfer entropy
  • Bidirectional coupling analysis method of EEG in epilepsy based on symbolic permutation transfer entropy

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Embodiment Construction

[0052]In order to better analyze the coupling strength of multi-channel EEG and the synchronization strength of brain intervals, the present invention mainly improves the analysis method of EEG. The present invention proposes to use multi-scale symbolization to symbolize the original EEG EEG signal, and then use the arrangement mode to reconstruct the sequence to obtain a new time sequence, and use the transfer entropy algorithm to calculate the two-way coupling strength between EEGs for the reconstructed sequence. Finally, the multi-channel EEG was divided into four brain regions, and the bidirectional synchrony was extended to multi-channel synchronicity analysis by using the S estimator to explore the synchronization strength between brain regions.

[0053] The specific flow chart of the two-way coupling analysis method of epileptic EEG based on symbolized permutation transfer entropy is as follows: figure 1 As shown, the present invention proposes a multi-scale symbolic p...

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Abstract

The invention discloses a bidirectional coupling analysis method of epileptic EEG based on symbolized permutation transfer entropy. The specific steps are as follows: firstly, the multi-scale symbolic permutation transfer entropy method is used to extract the coupling characteristics of multi-channel epileptic EEG signals, and the appropriate scale and frequency band are selected to construct the EEG synchronization matrix; secondly, the method based on significance analysis is used to screen the epileptic seizures. Important channels, carry out two-way coupling analysis between channels; in order to further study the overall synchronization relationship of the entire cerebral cortex region, the present invention divides multi-channel EEG signals into 4 brain regions, and uses S estimation in the δ, θ, α, β frequency bands The device is used to analyze the synchronization of multi-channel EEG signals. The invention improves the characteristics of bidirectional coupling and synchronization of epileptic EEG signals, and makes a more scientific and reasonable analysis method.

Description

technical field [0001] The invention relates to a method for analyzing the two-way coupling and synchronization strength of epileptic EEG signals by using multi-scale symbolic permutation transfer entropy, especially the location of epileptic seizures based on multi-channel EEG signals of epileptic patients, which belongs to the technical field of intelligent pattern recognition. Background technique [0002] Epilepsy is a chronic disease of sudden and recurrent brain dysfunction. Due to the different starting sites and transmission methods of abnormal electrical activity in the brain, the clinical manifestations of epilepsy are complex and diverse, including transient sensory disturbances, limb twitches, loss of consciousness, behavioral disturbances, etc. , causing serious physical and mental damage to the patient. EEG signals contain important information about brain activity, and the location, diagnosis and treatment of epileptic seizures based on EEG signals have been p...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/369A61B5/372A61B5/00G06F17/18
CPCA61B5/4094A61B5/7203A61B5/7235G06F17/18
Inventor 高云园高博王翔坤朱涛张卷卷郑敏杰
Owner HANGZHOU DIANZI UNIV
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