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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Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering 2022, Vol.30, p.1920-1930
Hauptverfasser:	Zhou, Wei, Zhao, Xian, Wang, Xinhua, Zhou, Yuanfeng, Wang, Yalin, Meng, Long, Fan, Jiahao, Shen, Ning, Zhou, Shuizhen, Chen, Wei, Chen, Chen
Format:	Artikel
Sprache:	eng
Schlagworte:	Biogeography Biogeography-based optimization Brain modeling Decision analysis Decision making Detectors Diagnosis EEG electrical status epilepticus during sleep Electroencephalography Encephalopathy Epilepsy Expert systems Feature extraction Firing pattern Hybrid systems Morphology Optimization Reliability analysis Sleep
Online-Zugang:	Volltext
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