Data compression of EEG signals for artificial neural network classification.
Darius BirvinskasVacius JusasIgnas MartisiusRobertas DamaseviciusPublished in: Inf. Technol. Control. (2013)
Keyphrases
- data compression
- eeg signals
- artificial neural networks
- data reduction
- signal processing
- compression algorithm
- brain computer interface
- pattern recognition
- motor imagery
- compression ratio
- kernel density estimators
- compression scheme
- eeg data
- huffman coding
- compressed data
- decision rules
- preprocessing
- extracted features
- brain activity
- electrical activity
- computer vision
- feature vectors
- feature selection
- remote sensing
- support vector machine svm
- image classification
- face recognition
- brain signals
- data mining
- linear discriminant classifier