EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network.
Saadullah Farooq AbbasiJawad AhmadAhsen TahirMuhammad AwaisChen ChenMuhammad IrfanHafza Ayesha SiddiqaAbu Bakar WaqasXi LongBin YinSaeed AkbarzadehChunmei LuLaishuan WangWei ChenPublished in: IEEE Access (2020)
Keyphrases
- sleep stage
- eeg signals
- multilayer perceptron neural network
- feature selection
- sleep apnea
- pattern classification
- support vector machine
- support vector
- feature space
- classification accuracy
- feature extraction
- machine learning
- back propagation
- support vector machine svm
- brain computer interface
- automatic classification
- classification models
- classification algorithm
- benchmark datasets
- signal processing
- supervised learning
- preprocessing
- motor imagery
- machine learning algorithms
- class labels
- model selection
- image classification
- genetic algorithm