Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space.
Jirí SpilkaJordan FréconRoberto F. LeonarduzziNelly PustelnikPatrice AbryMuriel DoretPublished in: EMBC (2015)
Keyphrases
- heart rate
- feature space
- support vector machine
- support vector machine svm
- support vector
- classification accuracy
- feature vectors
- feature selection
- blood pressure
- kernel function
- training set
- heart rate variability
- svm classifier
- high dimensional
- high dimension
- high dimensionality
- physiological signals
- classification algorithm
- classification method
- feature extraction
- training samples
- feature set
- vital signs
- physical activity
- hyperplane
- ecg signals
- svm classification
- dimension reduction
- kernel methods
- dimensionality reduction
- sparse coding
- input space
- image classification
- decision trees
- activity recognition
- multi class classification
- principal component analysis
- high dimensional feature space
- feature values
- decision boundary
- machine learning algorithms
- mercer kernel