Automatic epileptic seizure detection system based on 1D-LBP and fuzzy logic classification

Abstract

The invention provides an epileptic seizure automatic detection system based on 1D-LBP and fuzzy logic classification, and the system comprises an electroencephalogram signal preprocessing module which is configured to segment an obtained electroencephalogram signal by taking a set time length as a unit, and carries out the filtering processing; the feature extraction module is configured to extract one-dimensional signal uniform local binary pattern texture features on the electroencephalogram signals represented by time-frequency; the classification module is configured to use a pre-trained fuzzy logic classifier to classify the extracted information and determine whether epileptic seizure occurs or not, and the classification distance of the fuzzy logic classifier is selected according to specific conditions; according to the method, the defect of low efficiency of epilepsy detection in the prior art is overcome, redundant information can be effectively eliminated, key information can be effectively extracted, the false detection rate in epilepsy detection is reduced, the speed is high, and the detection accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of automatic detection systems, in particular to an automatic detection system for epileptic seizures based on 1D-LBP and fuzzy logic classification. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Epilepsy is one of the most common neurological diseases in the world. It is a chronic neurological disease caused by abnormal discharge of nerve cells in the brain. Epilepsy can cause confusion, muscle twitches and even loss of consciousness. Fortunately, up to 70 percent of people with epilepsy can achieve seizure-free outcomes with targeted diagnosis and inexpensive antiseizure drugs. [0004] The traditional diagnosis of epilepsy is mainly by doctors visually observing the EEG. EEG is an important clinical detection method, which plays an important role in identifying whe...

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Problems solved by technology

[0007] In order to solve the above problems, the present invention proposes an automatic epileptic seizure detection system based on 1D-LBP and fuzzy logic classification, which overcomes the shortcomings of low epilepsy detection efficiency in the past, can effectively eliminate redundant information, extract key information, and reduce seizures. False detection rate in detection, faster speed, high detection accuracy rate

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