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A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep.
Fons Schipper
Ruud J. G. van Sloun
Angela Grassi
Sebastiaan Overeem
Pedro Fonseca
Published in:
Biomed. Signal Process. Control. (2023)
Keyphrases
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deep learning
activity recognition
sleep stage
unsupervised learning
unsupervised feature learning
lung cancer
machine learning
x ray
medical images
sleep apnea
mental models
weakly supervised
restricted boltzmann machine
deep architectures
decision making
image processing
automatic extraction
higher order
pairwise