A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings.
Cosimo IeracitanoNadia MammoneAlessia BramantiAmir HussainFrancesco Carlo MorabitoPublished in: Neurocomputing (2019)
Keyphrases
- convolutional neural network
- spectral features
- classification accuracy
- eeg signals
- pattern recognition
- face detection
- decision trees
- support vector
- single trial
- healthy subjects
- pattern classification
- machine learning
- robust classification
- feature extraction
- classification scheme
- eeg data
- feature representation
- classification method
- classification algorithm
- signal processing
- spectral decomposition
- image classification
- epileptic seizures
- feature set
- motor imagery
- supervised learning
- hyperspectral images
- feature space
- feature vectors
- image sequences
- neural network
- hyperspectral data
- hyperspectral imagery
- spectral analysis
- brain computer interface
- extracted features
- multistage
- image representation
- text classification