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Sleep stage classification of sleep apnea patients using decision-tree-based support vector machines based on ECG parameters.
Jeen-Shing Wang
Guan-Rong Shih
Wei-Chun Chiang
Published in:
BHI (2012)
Keyphrases
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sleep stage
sleep apnea
physiological parameters
obstructive sleep apnea
support vector
learning machines
automatic analysis
classification accuracy
logistic regression
sensitivity analysis
large margin classifiers
support vector machine
maximum likelihood
svm classifier
feature selection