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A Novel Flexible Model for the Extraction of Features from Brain Signals in the Time-Frequency Domain

Electrophysiological signals such as the EEG, MEG, or LFPs have been extensively studied over the last decades, and elaborate signal processing algorithms have been developed for their analysis. Many of these methods are based on time-frequency decomposition to account for the signals' spectral...

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Detalles Bibliográficos
Autores principales: Heideklang, R., Ivanova, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3564432/
https://www.ncbi.nlm.nih.gov/pubmed/23401674
http://dx.doi.org/10.1155/2013/759421