Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings.
Ahsan H. KhandokerMarimuthu PalaniswamiChandan K. KarmakarPublished in: IEEE Trans. Inf. Technol. Biomed. (2009)
Keyphrases
- obstructive sleep apnea
- support vector
- sleep apnea
- large margin classifiers
- learning machines
- recognition rate
- radial basis function neural network
- pattern recognition
- support vector machine
- eeg signals
- signal processing
- radial basis function
- apnea hypopnea
- classification accuracy
- feature extraction
- learning algorithm
- generalization ability
- neural network
- sensitivity analysis
- kernel function
- heart rate variability
- hilbert huang transform
- sleep stage
- machine learning