A novel electrocardiogram arrhythmia classification method based on stacked sparse auto-encoders and softmax regression.
Jianli YangYang BaiFeng LinMing LiuZengguang HouXiu-Ling LiuPublished in: Int. J. Mach. Learn. Cybern. (2018)
Keyphrases
- classification method
- ecg signals
- heart rate variability
- relevance vector machine
- sparse bayesian learning
- beat classification
- support vector machine
- sparse regression
- k nearest neighbor
- support vector machine svm
- regression model
- knn
- classification algorithm
- classification scheme
- text classification
- linear regression
- spectral analysis
- heart rate
- model selection
- selected features
- sparse data
- mit bih arrhythmia database
- nearest neighbor rule
- gaussian processes
- support vector
- real world
- heart disease
- knowledge discovery
- high dimensional
- pattern recognition
- information retrieval
- machine learning