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Nanopower Integrated Gaussian Mixture Model Classifier for Epileptic Seizure Prediction

This paper presents a new analog front-end classification system that serves as a wake-up engine for digital back-ends, targeting embedded devices for epileptic seizure prediction. Predicting epileptic seizures is of major importance for the patient’s quality of life as they can lead to paralyzation...

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Detalles Bibliográficos
Autores principales:	Alimisis, Vassilis, Gennis, Georgios, Touloupas, Konstantinos, Dimas, Christos, Uzunoglu, Nikolaos, Sotiriadis, Paul P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028754/ https://www.ncbi.nlm.nih.gov/pubmed/35447720 http://dx.doi.org/10.3390/bioengineering9040160

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