Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm.
Niamh McCallanScot DavidsonKok Yew NgPardis BiglarbeigiDewar D. FinlayBoon Leong LanJames McLaughlinPublished in: APSIPA ASC (2021)
Keyphrases
- selection algorithm
- denoising
- eeg signals
- prototype selection
- wavelet packet transform
- soft threshold
- eeg data
- wavelet packet
- epileptic seizures
- frequency domain
- denoising methods
- signal processing
- single channel
- feature subset selection
- wavelet domain
- image denoising
- classification accuracy
- noisy images
- feature subset
- image processing
- multi channel
- denoising algorithm
- reduction method
- wavelet denoising
- decision trees
- data sets
- wavelet decomposition
- brain activity
- original signal
- wavelet based denoising
- support vector machine svm
- feature selection
- feature extraction
- support vector
- search algorithm
- feature space
- training set
- feature vectors
- wavelet coefficients
- wavelet analysis
- evolutionary algorithm
- pattern recognition
- multiresolution
- support vector machine
- multiscale
- image classification
- machine learning
- neural network