Classification of ECG Arrhythmia Using CNN, SVM and LDA.
Jian LiuShuang SongGuozhong SunYu FuPublished in: ICAIS (2) (2019)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- linear discriminant analysis
- heart rate variability
- classification method
- svm classifier
- classification algorithm
- svm classification
- feature selection
- feature vectors
- improves the classification accuracy
- image classification
- classification accuracy
- feature space
- high classification accuracy
- ecg signals
- feature extraction
- mit bih arrhythmia database
- beat classification
- machine learning
- support vector machine classifiers
- generalization ability
- dimension reduction
- discriminant analysis
- face recognition
- cost sensitive
- supervised learning
- text classification
- cellular neural networks
- kernel methods
- convolutional neural network
- fuzzy support vector machine
- unbalanced data
- training set
- feature reduction
- decision trees
- pattern recognition
- subspace methods
- heart rate
- topic models
- kernel principal component analysis
- text classifiers
- kernel function
- multi class classification
- decision boundary
- latent dirichlet allocation
- hyperplane
- training data
- knn
- data points