Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data

An efficient processing approach is essential for increasing identification accuracy since the electroencephalogram (EEG) signals produced by the Brain–Computer Interface (BCI) apparatus are nonlinear, nonstationary, and time-varying. The interpretation of scalp EEG recordings can be hampered by non...

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Detalles Bibliográficos
Autores principales: Antony, Mary Judith, Sankaralingam, Baghavathi Priya, Khan, Shakir, Almjally, Abrar, Almujally, Nouf Abdullah, Mahendran, Rakesh Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486696/
https://www.ncbi.nlm.nih.gov/pubmed/37685390
http://dx.doi.org/10.3390/diagnostics13172852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486696/
https://www.ncbi.nlm.nih.gov/pubmed/37685390
http://dx.doi.org/10.3390/diagnostics13172852

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