A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.
Minmin MiaoAimin WangFeixiang LiuPublished in: Medical Biol. Eng. Comput. (2017)
Keyphrases
- motor imagery
- classification method
- spatial frequency
- pattern recognition
- support vector machine svm
- classification algorithm
- brain computer interface
- eeg signals
- texture segmentation
- signal processing
- k nearest neighbor
- support vector machine
- knn
- text classification
- eeg data
- low frequency
- feature vectors
- computer vision
- neural network
- spinal cord injury
- pattern classification
- sparse representation
- image analysis
- blind source separation
- image processing
- machine learning
- feature set
- dimensionality reduction
- brain activity
- healthy subjects
- image features
- multiresolution
- feature selection