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...

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Detalles Bibliográficos
Autores principales: Piangerelli, Marco, Rucco, Matteo, Tesei, Luca, Merelli, Emanuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Note
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

Internet

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

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