Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection.
Boualem BoashashHichem BarkiSamir OuelhaPublished in: Knowl. Based Syst. (2017)
Keyphrases
- non stationary
- feature set
- eeg signals
- signal analysis
- empirical mode decomposition
- eeg data
- extracted features
- classification accuracy
- image classification
- signal processing
- feature vectors
- epileptic seizures
- feature representation
- feature selection
- feature extraction
- white noise
- short time fourier transform
- image features
- image data
- feature space
- blind source separation
- spectral features
- classification models
- multiscale
- brain computer interface
- change point detection
- set of real images
- pattern recognition
- support vector
- similarity measure
- machine learning
- wavelet decomposition
- frequency domain
- spectral analysis
- text classification
- object detection
- training set
- individual features
- training data
- biomedical signals
- data sets