EEG signal processing for epilepsy seizure detection using 5-level Db4 discrete wavelet transform, GA-based feature selection and ANN/SVM classifiers.
Mehdi OmidvarAbdulhamid ZahediHamidreza BakhshiPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- discrete wavelet transform
- eeg signals
- signal processing
- epileptic seizures
- svm classifier
- support vector machine
- feature selection
- selected features
- feature vectors
- support vector
- brain computer interface
- eeg data
- artificial neural networks
- subband
- multiresolution
- feature subset
- support vector machine svm
- wavelet domain
- high frequency
- image processing
- image fusion
- genetic algorithm ga
- image classification
- pattern recognition
- brain activity
- training set
- wavelet coefficients
- feature set
- independent component analysis
- filter bank
- dual tree
- classification accuracy
- support vector machine classifier
- multi class
- neural network
- kernel function
- computer vision
- feature extraction
- k nearest neighbor
- image analysis
- motion estimation
- image denoising
- image data
- knn
- lifting scheme
- text classification
- palmprint
- image compression
- image segmentation
- learning algorithm
- machine learning