Using Multiple Decomposition Methods and Cluster Analysis to Find and Categorize Typical Patterns of EEG Activity in Motor Imagery Brain–Computer Interface Experiments

In this study, the sources of EEG activity in motor imagery brain–computer interface (BCI) control experiments were investigated. Sixteen linear decomposition methods for EEG source separation were compared according to different criteria. The criteria were mutual information reduction between the s...

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Detalles Bibliográficos
Autores principales: Frolov, Alexander, Bobrov, Pavel, Biryukova, Elena, Isaev, Mikhail, Kerechanin, Yaroslav, Bobrov, Dmitry, Lekin, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805631/
https://www.ncbi.nlm.nih.gov/pubmed/33501255
http://dx.doi.org/10.3389/frobt.2020.00088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805631/
https://www.ncbi.nlm.nih.gov/pubmed/33501255
http://dx.doi.org/10.3389/frobt.2020.00088

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