Automatic detection of sleep spindles with quadratic discriminant analysis.
Sila Turku KokererElif Oyku CelikTugce Kantar UgurAykut ErdamarPublished in: SIU (2018)
Keyphrases
- automatic detection
- quadratic discriminant analysis
- healthy subjects
- true positive rate
- support vector machine
- eeg signals
- cross validated
- bayesian estimation
- discriminant analysis
- automatically detecting
- class conditional
- false positive rate
- cross validation
- misclassification costs
- brain computer interface
- multi class
- knn
- fold cross validation
- log likelihood
- extracted features
- probability density function
- face recognition
- computer vision
- posterior distribution
- class distribution
- maximum entropy
- image reconstruction
- signal processing