Sleep Stage Classification Using Bidirectional LSTM in Wearable Multi-sensor Systems.
Yuezhou ZhangZhicheng YangKe LanXiaoli LiuZhengbo ZhangPeiyao LiDesen CaoJiewen ZhengJianli PanPublished in: INFOCOM Workshops (2019)
Keyphrases
- sleep stage
- multi sensor
- classification systems
- classification accuracy
- data fusion
- feature selection
- support vector
- pattern recognition
- infrared
- multi sensor fusion
- real time
- sleep apnea
- support vector machine
- feature extraction
- decision trees
- neural network
- low cost
- feature space
- high quality
- fusion algorithm
- image processing