Multi-Domain Convolutional Neural Networks for Lower-Limb Motor Imagery Using Dry vs. Wet Electrodes

Motor imagery (MI) brain–computer interfaces (BCIs) have been used for a wide variety of applications due to their intuitive matching between the user’s intentions and the performance of tasks. Applying dry electroencephalography (EEG) electrodes to MI BCI applications can resolve many constraints a...

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Detalles Bibliográficos
Autores principales: Jeong, Ji-Hyeok, Choi, Jun-Hyuk, Kim, Keun-Tae, Lee, Song-Joo, Kim, Dong-Joo, Kim, Hyung-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513081/
https://www.ncbi.nlm.nih.gov/pubmed/34640992
http://dx.doi.org/10.3390/s21196672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513081/
https://www.ncbi.nlm.nih.gov/pubmed/34640992
http://dx.doi.org/10.3390/s21196672

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