An improved BECT spike detection method with functional brain network features based on PLV

An improved BECT spike detection method with functional brain network features based on PLV

BackgroundChildren with benign childhood epilepsy with centro-temporal spikes (BECT) have spikes, sharps, and composite waves on their electroencephalogram (EEG). It is necessary to detect spikes to diagnose BECT clinically. The template matching method can identify spikes effectively. However, due...

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Detaylı Bibliyografya
Asıl Yazarlar: Lurong Jiang, Qikai Fan, Juntao Ren, Fang Dong, Tiejia Jiang, Junbiao Liu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2023-03-01
Seri Bilgileri:Frontiers in Neuroscience
Konular:
spike detection
functional brain networks
phase locking value
network structure features
ANN
Online Erişim:https://www.frontiersin.org/articles/10.3389/fnins.2023.1150668/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1150668/full

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