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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Vydáno v:Front Robot AI
Hlavní autoři: Frolov, Alexander, Bobrov, Pavel, Biryukova, Elena, Isaev, Mikhail, Kerechanin, Yaroslav, Bobrov, Dmitry, Lekin, Alexander
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2020
Témata:
Robotics and AI
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7805631/
https://ncbi.nlm.nih.gov/pubmed/33501255
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2020.00088
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