Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification.
Paul BustiosJoão Luís Garcia RosaPublished in: Appl. Intell. (2023)
Keyphrases
- motor imagery
- learning models
- eeg signals
- classification models
- brain computer interface
- machine learning
- eeg data
- hand crafted
- machine learning algorithms
- signal processing
- feature vectors
- classification accuracy
- feature set
- feature extraction
- feature space
- learning algorithm
- extracted features
- data sets
- pattern recognition
- deep learning
- class labels
- semi supervised learning
- domain independent
- learning problems
- text classification
- healthy subjects
- conditional random fields
- decision trees
- image processing
- loss function
- blind source separation
- brain activity
- learning tasks
- independent component analysis
- supervised learning
- active learning