A convolution neural networks scheme for classification of motor imagery EEG based on wavelet time-frequecy image.
Hyeon Kyu LeeYoung-Seok ChoiPublished in: ICOIN (2018)
Keyphrases
- motor imagery
- eeg signals
- neural network
- multiscale
- image classification
- brain computer interface
- eeg data
- pattern recognition
- image features
- image data
- wavelet function
- image representation
- edge detection
- classification accuracy
- feature extraction
- image segmentation
- online training
- signal processing
- high resolution
- similarity measure
- wavelet decomposition
- back projection
- wavelet transform
- extracted features
- pattern classification
- image analysis
- image compression
- multiresolution
- feature vectors
- training set
- machine learning