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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| 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 |