Densely Feature Fusion Based on Convolutional Neural Networks for Motor Imagery EEG Classification.
Donglin LiJianhui WangJiacan XuXiaoke FangPublished in: IEEE Access (2019)
Keyphrases
- motor imagery
- eeg signals
- feature fusion
- brain computer interface
- eeg data
- convolutional neural networks
- feature extraction
- classification accuracy
- blind source separation
- text classification
- decision trees
- machine learning
- image classification
- healthy subjects
- multiple features
- support vector machine
- feature vectors
- pattern recognition
- support vector
- multiscale
- image processing