AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data.
Guanjie HuangYe YuanGuohong CaoFenglong MaPublished in: BIBM (2022)
Keyphrases
- artificial neural networks
- sleep stage
- fusion model
- neural network
- activity recognition
- accelerometer data
- sleep apnea
- decision level
- pattern recognition
- machine learning
- image classification
- feature selection
- feature vectors
- support vector machine
- training set
- text classification
- support vector
- feature extraction
- support vector machine svm
- supervised learning
- svm classifier
- information fusion
- decision trees
- computer vision
- learning algorithm