Input Shape Effect on Classification Performance of Raw EEG Motor Imagery Signals with Convolutional Neural Networks for Use in Brain—Computer Interfaces

EEG signals are interpreted, analyzed and classified by many researchers for use in brain–computer interfaces. Although there are many different EEG signal acquisition methods, one of the most interesting is motor imagery signals. Many different signal processing methods, machine learning and deep l...

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Detalles Bibliográficos
Autores principales: Arı, Emre, Taçgın, Ertuğrul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954790/
https://www.ncbi.nlm.nih.gov/pubmed/36831784
http://dx.doi.org/10.3390/brainsci13020240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954790/
https://www.ncbi.nlm.nih.gov/pubmed/36831784
http://dx.doi.org/10.3390/brainsci13020240

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