An end-to-end multi-task motor imagery EEG classification neural network based on dynamic fusion of spectral-temporal features.
Shidong LianZheng LiPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- motor imagery
- end to end
- multi task
- eeg signals
- brain computer interface
- eeg data
- multi task learning
- congestion control
- neural network
- multi class
- feature vectors
- learning tasks
- brain activity
- classification accuracy
- pattern recognition
- similarity measure
- healthy subjects
- gaussian processes
- text localization and recognition
- independent component analysis
- learning problems
- class labels
- image representation
- image classification
- signal processing
- feature extraction
- image processing
- computer vision