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Automatic SLEEP staging: From young aduslts to elderly patients using multi-class support vector machine.
Jacob Kempfner
Poul Jennum
Helge B. D. Sørensen
Julie A. E. Christensen
Miki Nikolic
Published in:
EMBC (2013)
Keyphrases
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multi class support vector machine
fall detection
multi class support vector machines
sleep apnea
obstructive sleep apnea
activities of daily living
detection algorithm
features extraction
sleep stage
ambient intelligence
neural network
computer vision
wavelet transform
high risk
ad patients