A Meta-Gnn Approach to Personalized Seizure Detection and Classification.
Abdellah RahmaniArun VenkitaramanPascal FrossardPublished in: ICASSP (2023)
Keyphrases
- pattern recognition
- classification accuracy
- epileptic seizures
- pattern classification
- eeg signals
- classification method
- detection rate
- false positives
- classification scheme
- image classification
- classification process
- feature extraction
- decision trees
- feature vectors
- object detection
- feature set
- feature space
- text classification
- support vector
- detection method
- automatic detection
- decision rules
- classification systems
- detection accuracy
- meta level
- machine learning
- classification rules
- classification algorithm
- preprocessing
- svm classifier
- detection algorithm
- false alarms
- automatic classification
- training samples
- unsupervised learning
- supervised learning
- support vector machine
- training set
- neural network
- microcalcification clusters