Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification.
Ahmed Ben SaidAmr MohamedTarek ElfoulyKhaled A. HarrasZ. Jane WangPublished in: WCNC (2017)
Keyphrases
- data compression
- deep learning
- data reduction
- unsupervised learning
- eeg signals
- machine learning
- compression algorithm
- compression ratio
- classification accuracy
- pattern recognition
- decision trees
- support vector
- feature vectors
- restricted boltzmann machine
- model selection
- compressed data
- wavelet transform
- classification rules
- dimensionality reduction
- training set
- feature space
- computer vision