Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor.
Sangho ChoiHyunbin KwonHyung Won JinHeenam YoonMi Hyun LeeYu Jin LeeKwang Suk ParkPublished in: IEEE J. Biomed. Health Informatics (2020)
Keyphrases
- sleep stage
- pattern recognition
- classification accuracy
- decision trees
- real time
- automatic classification
- support vector
- training set
- support vector machine
- sleep apnea
- pattern classification
- machine learning
- sensor data
- classification systems
- text classification
- feature extraction
- feature selection
- neural network
- classification scheme
- social networks
- recognition rate
- classification process
- classification models
- network structure
- classification rules
- machine learning algorithms
- training samples
- image classification
- data sets