Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection.
Martin MacasVáclav GerlaLenka LhotskáPublished in: SOCO (2012)
Keyphrases
- feature selection
- eeg signals
- recognition rate
- feature extraction
- recognition accuracy
- obstructive sleep apnea
- symbol recognition
- automatic recognition
- sleep stage
- object recognition
- mutual information
- text categorization
- social networks
- sleep apnea
- unsupervised learning
- action recognition
- semi automatic
- social interaction
- fully automatic
- activity recognition
- social media
- feature space
- feature selection algorithms
- multi class
- social capital
- frequency band
- data sets
- knn
- recognition algorithm
- pattern recognition
- mri data
- classification accuracy
- support vector
- support vector machine
- machine learning