Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.
Yaopeng J. X. MaJohannes ZschockeMartin GlosMaria KlugeThomas PenzelJan W. KantelhardtRonny P. BartschPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- transfer learning
- data sets
- machine learning
- heart rate
- training data
- blood pressure
- data sources
- labeled data
- physiological signals
- data points
- text classification
- sleep stage
- vital signs
- learning tasks
- statistical methods
- training samples
- data analysis
- supervised learning
- active learning
- recommender systems
- test data
- feature vectors
- feature space
- cross domain
- support vector
- feature extraction
- decision trees
- feature selection