Automated Classification and Removal of EEG Artifacts With SVM and Wavelet-ICA.
Chong Yeh SaiNorrima MokhtarHamzah ArofPaul CummingMasahiro IwahashiPublished in: IEEE J. Biomed. Health Informatics (2018)
Keyphrases
- automated classification
- support vector machine svm
- independent component analysis
- wavelet kernel
- support vector
- signal processing
- feature extraction
- eeg data
- support vector machine
- knn
- wavelet transform
- wavelet support vector machine
- multiscale
- wavelet coefficients
- svm classifier
- multiresolution analysis
- feature selection
- denoising
- multi class
- kernel function
- preprocessing
- machine learning
- multiresolution
- non stationary
- svm classification
- face recognition
- wavelet analysis
- support vector regression
- training data
- independent components
- motor imagery
- wavelet function
- neural network
- feature vectors
- independent components analysis
- wavelet decomposition
- physiological signals
- power spectrum
- single channel
- statistically independent
- multi class classification
- multiple kernel learning
- support vectors
- factor analysis
- wavelet domain
- feature space
- classification algorithm
- k nearest neighbor
- principal component analysis