Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features

K-complexes identification is a challenging task in sleep research. The detection of k-complexes in electroencephalogram (EEG) signals based on visual inspection is time consuming, prone to errors, and requires well-trained knowledge. Many existing methods for k-complexes detection rely mainly on an...

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Detalles Bibliográficos
Autores principales: Al-Salman, Wessam, Li, Yan, Wen, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609999/
https://www.ncbi.nlm.nih.gov/pubmed/31316365
http://dx.doi.org/10.3389/fninf.2019.00045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609999/
https://www.ncbi.nlm.nih.gov/pubmed/31316365
http://dx.doi.org/10.3389/fninf.2019.00045

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