A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization

A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization

Electrical status epilepticus during sleep (ESES) is an epileptic encephalopathy in children with complex clinical manifestations. It is accompanied by specific electroencephalography (EEG) patterns of continuous spike and slow-waves. Quantifying such EEG patterns is critical to the diagnosis of ESE...

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Bibliographic Details
Main Authors: Wei Zhou, Xian Zhao, Xinhua Wang, Yuanfeng Zhou, Yalin Wang, Long Meng, Jiahao Fan, Ning Shen, Shuizhen Zhou, Wei Chen, Chen Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Biogeography-based optimization
electroencephalography
electrical status epilepticus during sleep
Online Access:https://ieeexplore.ieee.org/document/9809996/

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https://ieeexplore.ieee.org/document/9809996/

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