Electroencephalogram signal analysis and its research progress in the field of epilepsy treatment
10.3760/cma.j.cn113694-20210719-00502
- VernacularTitle:癫痫治疗领域脑电信号分析应用及其研究进展
- Author:
Jun HONG
1
;
Kun XIONG
;
Zhiqi MAO
Author Information
1. 中南大学基础医学院人体解剖学与神经生物学系，长沙 410013
- Keywords:
Epilepsy;
Electroencephalography;
Signal processing, computer-assisted;
Numerical analysis, computer-assisted;
Diagnosis
- From:
Chinese Journal of Neurology
2022;55(4):391-400
- CountryChina
- Language:Chinese
-
Abstract:
Epilepsy is a serious chronic neurological disorder that can be detected by analysing the brain signals generated by brain neurons, with electroencephalography (EEG) becoming a key tool in the diagnosis of epilepsy. The application of specific methods for processing and analysing EEG signals is important in exploring the working mechanisms of the brain and in the diagnosis of neurological disorders of the brain. The article describes the application of EEG signals in epilepsy treatment through feature extraction, feature classification and other related analysis methods. The article presents an overview of recent research advances through the use of principal component analysis, independent component analysis, wavelet transform, linear discriminant analysis, support vector machine, artificial neural network and decision tree. It provides some reference for the detection and classification of seizures and future research directions.
