Characterization and Classification of Electrophysiological Signals Represented as Visibility Graphs Using the Maxclique Graph

Detection, characterization and classification of patterns within time series from electrophysiological signals have been a challenge for neuroscientists due to their complexity and variability. Here, we aimed to use graph theory to characterize and classify waveforms within biological signals using...

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Detalles Bibliográficos
Autores principales: Rodriguez-Torres, Erika Elizabeth, Paredes-Hernandez, Ulises, Vazquez-Mendoza, Enrique, Tetlalmatzi-Montiel, Margarita, Morgado-Valle, Consuelo, Beltran-Parrazal, Luis, Villarroel-Flores, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174547/
https://www.ncbi.nlm.nih.gov/pubmed/32351953
http://dx.doi.org/10.3389/fbioe.2020.00324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174547/
https://www.ncbi.nlm.nih.gov/pubmed/32351953
http://dx.doi.org/10.3389/fbioe.2020.00324

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