Epileptic EEG Signal Classification Using Convolutional Neural Networks Based on Optimum Window Length and FFT's Length.
Irwan Budi SantosoI. Ketut Eddy PurnamaPublished in: ICCCM (2020)
Keyphrases
- eeg signals
- signal processing
- convolutional neural networks
- brain computer interface
- classification accuracy
- motor imagery
- eeg data
- decision trees
- machine learning
- support vector
- feature vectors
- support vector machine
- window sizes
- linear discriminant classifier
- kernel density estimators
- brain activity
- empirical mode decomposition
- extracted features
- classification method
- sliding window
- multiresolution
- feature space
- feature extraction