Sleep apnoea episodes recognition by a committee of ELM classifiers from ECG signal.
Nadi SadrPhilip de ChazalAndré van SchaikPaul BreenPublished in: EMBC (2015)
Keyphrases
- ecg signals
- recognition rate
- object recognition
- improve recognition accuracy
- decision trees
- training data
- pattern recognition
- feature extraction
- power line
- support vector
- extreme learning machine
- multiple classifiers
- extracting features
- feature set
- activity recognition
- feature selection
- event sequences
- neural network