Using Multiple Decomposition Methods and Cluster Analysis to Find and Categorize Typical Patterns of EEG Activity in Motor Imagery Brain–Computer Interface Experiments-Reference-Cited by-同舟云学术

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

Published:2020-07-30 Issue: Volume:7 Page:
ISSN:2296-9144
Container-title:Frontiers in Robotics and AI
language:
Short-container-title:Front. Robot. AI

Author:

Frolov Alexander,Bobrov Pavel,Biryukova Elena,Isaev Mikhail,Kerechanin Yaroslav,Bobrov Dmitry,Lekin Alexander

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

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