EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network

The use of electroencephalography (EEG) has recently grown as a means to diagnose neurodegenerative pathologies such as Alzheimer’s disease (AD). AD recognition can benefit from machine learning methods that, compared with traditional manual diagnosis methods, have higher reliability and improved re...

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Detalles Bibliográficos
Autores principales: Alessandrini, Michele, Biagetti, Giorgio, Crippa, Paolo, Falaschetti, Laura, Luzzi, Simona, Turchetti, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145212/
https://www.ncbi.nlm.nih.gov/pubmed/35632105
http://dx.doi.org/10.3390/s22103696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145212/
https://www.ncbi.nlm.nih.gov/pubmed/35632105
http://dx.doi.org/10.3390/s22103696

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