The intelligent analysis of childhood epileptic syndrome refers to the research which aims at addressing clinical and prognostic management issues by data-driven methods such as statistical analysis and machine learning to explore clinically effective biomarkers and construct corresponding expert systems.Firstly,the definition,seizure types and classification of childhood epileptic syndrome are briefly introduced.Then,the advantages and disadvantages of the framework and typical methods of the intelligent analysis of childhood epileptic syndrome based on scalp electroencephalogram are reviewed,including data collection and preprocessing,feature extraction,decision-making systems,and expert systems.Specifically,the expert systems are divided into specific waveform detection systems,diagnostic classification systems,seizure detection systems,seizure prediction systems and quantitative assessment systems with a comprehensive summary and theoretical explanation.Finally,with the consideration of the limitations and challenges of the existing research in the field of intelligent analysis of childhood epileptic syndrome,future research directions are proposed to advance the study of intelligent analysis systems for childhood epileptic syndrome and alleviate the negative impact of the disease.
关键词
儿童癫痫综合征/生物标志物/脑电信号/智能分析/专家系统
Key words
Childhood Epileptic Syndrome/Biomarker/Electroencephalogram/Intelligent Analysis/Expert System
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