A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers.
Zilu LiangMario Alberto Chapa MartellPublished in: Frontiers Digit. Health (2021)
Keyphrases
- data sets
- data collection
- machine learning
- feature extraction
- sleep stage
- data sources
- data analysis
- training data
- data structure
- classification accuracy
- spatial data
- activity patterns
- decision trees
- pattern recognition
- feature space
- training set
- hidden markov models
- knowledge discovery
- multi class
- image classification
- training samples