A Deep Learning Model for Correlation Analysis between Electroencephalography Signal and Speech Stimuli

In recent years, the use of electroencephalography (EEG) has grown as a tool for diagnostic and brain function monitoring, being a simple and non-invasive method compared with other procedures like histological sampling. Typically, in order to extract functional brain responses from EEG signals, pro...

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Detalles Bibliográficos
Autores principales: Alessandrini, Michele, Falaschetti, Laura, Biagetti, Giorgio, Crippa, Paolo, Luzzi, Simona, Turchetti, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575037/
https://www.ncbi.nlm.nih.gov/pubmed/37836869
http://dx.doi.org/10.3390/s23198039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575037/
https://www.ncbi.nlm.nih.gov/pubmed/37836869
http://dx.doi.org/10.3390/s23198039

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