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Predicting epileptic seizures using nonnegative matrix factorization
This paper presents a procedure for the patient-specific prediction of epileptic seizures. To this end, a combination of nonnegative matrix factorization (NMF) and smooth basis functions with robust regression is applied to power spectra of intracranial electroencephalographic (iEEG) signals. The re...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7001919/ https://ncbi.nlm.nih.gov/pubmed/32023272 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0228025 |
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