Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine.
Kandala N. V. P. S. RajeshRavindra DhuliPublished in: Comput. Biol. Medicine (2017)
Keyphrases
- classification accuracy
- decomposition methods
- support vector machine
- support vector
- high classification accuracy
- training data
- feature selection
- training set
- feature space
- svm classification
- training support vector machines
- heart rate
- machine learning
- multi class
- decision trees
- multi class support vector machines
- decomposition method
- ecg signals
- hypertree decomposition
- classification algorithm
- svm classifier
- data sets
- feature vectors
- heart rate variability
- constraint satisfaction problems
- database theory
- kernel methods
- computational complexity
- neural network