Detection of epileptic electroencephalogram based on Permutation Entropy and Support Vector Machines.
Nicoletta NicolaouJulius GeorgiouPublished in: Expert Syst. Appl. (2012)
Keyphrases
- support vector
- epileptic seizures
- eeg signals
- large margin classifiers
- learning machines
- detection accuracy
- object detection
- false positives
- detection method
- eeg data
- brain activity
- automatic detection
- cross validation
- generalization ability
- false alarms
- support vector machine
- artificial neural networks
- soft margin
- detection rate
- event related potentials
- machine learning
- event detection
- anomaly detection
- training data
- feature selection
- computer vision