Imagined Speech Classification Using EEG and Deep Learning

In this paper, we propose an imagined speech-based brain wave pattern recognition using deep learning. Multiple features were extracted concurrently from eight-channel electroencephalography (EEG) signals. To obtain classifiable EEG data with fewer sensors, we placed the EEG sensors on carefully sel...

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Detalles Bibliográficos
Autores principales: Abdulghani, Mokhles M., Walters, Wilbur L., Abed, Khalid H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295790/
https://www.ncbi.nlm.nih.gov/pubmed/37370580
http://dx.doi.org/10.3390/bioengineering10060649

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295790/
https://www.ncbi.nlm.nih.gov/pubmed/37370580
http://dx.doi.org/10.3390/bioengineering10060649

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