Using Multiple Decomposition Methods and Cluster Analysis to Find and Categorize Typical Patterns of EEG Activity in Motor Imagery Brain-Computer Interface Experiments.
Alexander A. FrolovPavel BobrovElena BiryukovaMikhail IsaevYaroslav KerechaninDmitry BobrovAlexander LekinPublished in: Frontiers Robotics AI (2020)
Keyphrases
- motor imagery
- cluster analysis
- brain computer interface
- decomposition methods
- data mining techniques
- event related potentials
- brain activity
- eeg signals
- brain signals
- unsupervised learning
- clustering algorithm
- clustering method
- k means
- event related
- factor analysis
- healthy subjects
- eeg data
- hierarchical latent class models
- decomposition method
- constraint satisfaction problems
- signal processing
- correlation analysis
- data analysis
- data mining
- blind source separation
- spinal cord injury
- database theory
- machine learning
- neural network