Classification of sleep apnea by using wavelet transform and artificial neural networks.
M. Emin TaglukMehmet AkinNecmettin SezginPublished in: Expert Syst. Appl. (2010)
Keyphrases
- wavelet transform
- artificial neural networks
- sleep apnea
- sleep stage
- classification accuracy
- pattern recognition
- feature extraction
- automatic classification
- classification method
- training set
- class labels
- text classification
- image compression
- neural network
- multi layer perceptron
- feature vectors
- decision trees
- feature selection
- multiscale
- support vector machine svm
- genetic algorithm ga
- using artificial neural networks
- image coding
- eeg signals
- image classification
- classification models
- multilayer perceptron
- wavelet coefficients
- model selection
- computational intelligence
- supervised learning
- multiresolution
- feature space
- image segmentation
- machine learning