Recurrent Neural Network Based Classification of ECG Signal Features for Obstruction of Sleep Apnea Detection.
Maowei ChengWorku Jifara SoriFeng JiangAdil KhanShaohui LiuPublished in: CSE/EUC (2) (2017)
Keyphrases
- ecg signals
- mit bih arrhythmia database
- feature vectors
- extracting features
- feature extraction
- feature set
- classification accuracy
- feature extraction and classification
- classification process
- classification method
- classification models
- sleep stage
- support vector machine classifier
- false positives
- feature space
- sleep apnea
- features extraction
- mammogram images
- decision trees
- extracted features
- beat classification
- class labels
- neural network
- support vector machine svm
- classification algorithm
- svm classifier
- power line
- image features
- support vector
- pattern classification
- text classification
- support vector machine
- feature reduction
- physiological signals
- selecting a small number
- heart rate
- input features
- automatic analysis
- generalization ability
- recurrent neural networks
- image classification
- object detection
- training set
- pattern recognition