Cargando…
Feature Extraction of the Brain’s Dynamic Complex Network Based on EEG and a Framework for Discrimination of Pediatric Epilepsy
Most of the current complex network studies about epilepsy used the electroencephalogram (EEG) to directly construct the static complex network for analysis and discarded the dynamic characteristics. This study constructed the dynamic complex network on EEG from pediatric epilepsy and pediatric cont...
Autores principales: | Liang, Zichao, Chen, Siyang, Zhang, Jinxin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003013/ https://www.ncbi.nlm.nih.gov/pubmed/35408168 http://dx.doi.org/10.3390/s22072553 |
Ejemplares similares
-
EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features
por: Ahmadi, Negar, et al.
Publicado: (2020) -
A decision support framework for the discrimination of children with controlled epilepsy based on EEG analysis
por: Sakkalis, Vangelis, et al.
Publicado: (2010) -
Epilepsy Detection in EEG Using Grassmann Discriminant Analysis Method
por: Yu, Hongbin, et al.
Publicado: (2020) -
A Parallel Algorithm Framework for Feature Extraction of EEG Signals on MPI
por: Xiong, Qi, et al.
Publicado: (2020) -
Wavelet Ridges in EEG Diagnostic Features Extraction: Epilepsy Long-Time Monitoring and Rehabilitation after Traumatic Brain Injury †
por: Obukhov, Yury Vladimirovich, et al.
Publicado: (2021)