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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...
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| Publicado no: | BMC Res Notes |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6003048/ https://ncbi.nlm.nih.gov/pubmed/29903043 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13104-018-3482-7 |
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