Arrhythmia recognition and classification through deep learning-based approach.
Rui ZhouXue LiBinbin YongZebang ShenChen WangQingguo ZhouYunshan CaoKuan-Ching LiPublished in: Int. J. Comput. Sci. Eng. (2019)
Keyphrases
- deep learning
- unsupervised learning
- pattern recognition
- feature extraction
- machine learning
- restricted boltzmann machine
- support vector
- object recognition
- feature selection
- supervised learning
- text classification
- training set
- decision trees
- dimensionality reduction
- model selection
- partial occlusion
- feature vectors
- data sets
- text mining
- image classification
- feature space
- weakly supervised
- face recognition
- heart rate variability
- unsupervised feature learning