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Topolnogical classifier for detecting the emergence of epileptic seizures
OBJECTIVE: An innovative method based on topological data analysis is introduced for classifying EEG recordings of patients affected by epilepsy. We construct a topological space from a collection of EEGs signals using Persistent Homology; then, we analyse the space by Persistent entropy, a global t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003048/ https://www.ncbi.nlm.nih.gov/pubmed/29903043 http://dx.doi.org/10.1186/s13104-018-3482-7 |