Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study.
Francesco UsaiThomas P. TrappenbergPublished in: Canadian Conference on AI (2019)
Keyphrases
- automatic classification
- healthy subjects
- true positive rate
- eeg signals
- cellular neural networks
- automatic detection
- false positive rate
- convolutional neural network
- sleep stage
- image dataset
- web page classification
- brain computer interface
- extracted features
- automatically classify
- computer vision
- sleep apnea
- machine learning
- decision making