Optimising the Apnoea Classification Performance of a Neural Network Classifier Processing ECG-Oximetry Signals.
Philip de ChazalMadhuka JayawardhanaNadi SadrPublished in: EMBC (2018)
Keyphrases
- learning vector quantization
- neural network
- classification method
- class labels
- classification algorithm
- support vector machine
- classification scheme
- support vector
- multi layer perceptron
- decision trees
- pattern recognition
- nearest neighbor classifier
- training samples
- classification process
- classification accuracy
- nearest neighbour
- svm classifier
- decision boundary
- k nearest neighbour
- binary decision tree
- training set
- feature selection
- higher classification accuracy
- signal processing
- feature space
- final classification
- classification models
- fuzzy classifier
- multiple classifiers
- image classification
- classification rate
- classifier combination
- training process
- supervised classification
- support vector machine svm
- heart rate
- incremental learning
- fuzzy artmap
- high classification accuracy
- feature set
- learning algorithm
- training data
- machine learning
- learning phase
- bayesian classifier
- naive bayes classifier
- back propagation
- artificial neural networks
- neural network model
- eeg signals
- pattern classification
- roc curve
- text classification
- probabilistic classifiers
- multi category
- supervised learning
- individual classifiers
- feature vectors
- fold cross validation
- probabilistic neural network
- active learning
- feature extraction and classification
- text classifiers
- multiclass classification
- binary classifiers
- fuzzy support vector machine