New feature extraction approach for epileptic EEG signal detection using time-frequency distributions.
Carlos Guerrero-MosqueraArmando Malanda-TriguerosJorge Iriarte FrancoÁngel Navia-VázquezPublished in: Medical Biol. Eng. Comput. (2010)
Keyphrases
- signal detection
- feature extraction
- eeg signals
- eeg data
- signal analysis
- signal processing
- extracted features
- wavelet transform
- brain computer interface
- independent component analysis
- frequency domain
- brain activity
- low signal to noise ratio
- pattern recognition
- weak signal
- healthy subjects
- pattern classification
- image processing
- preprocessing
- empirical mode decomposition
- support vector machine svm
- frequency analysis
- principal component analysis
- probability distribution
- motor imagery
- epileptic seizures
- feature selection
- feature vectors
- face recognition
- image classification
- feature set
- feature extractors
- feature representation
- gabor filters
- discriminant analysis
- feature extractor
- computer vision
- short time fourier transform
- brain signals
- image preprocessing
- random variables
- fourier transform
- dimension reduction
- gaussian distribution