ECG heartbeat classification based on combined features extracted by PCA, KPCA, AKPCA and DWT.
Junhao ZhuYi ZengJianheng ZhouXunde DongPublished in: CBMS (2022)
Keyphrases
- kernel principal component analysis
- extracted features
- extracting features
- feature space
- feature extraction
- feature vectors
- ecg signals
- feature set
- principal component analysis
- principal components analysis
- classification method
- classification accuracy
- principal components
- classification models
- principle component analysis
- kernel pca
- classification process
- textural features
- svm classifier
- face recognition
- fisher linear discriminant
- pattern recognition
- benchmark datasets
- support vector machine
- feature reduction
- high dimensional
- image classification
- high dimensionality
- support vector machine svm
- class labels
- linear discriminant analysis
- automatically extracted
- face images
- decision trees
- kernel methods
- classification algorithm
- training samples
- discriminant analysis
- dimension reduction
- preprocessing
- rotational invariant
- mit bih arrhythmia database
- kernel matrix
- feature selection
- train a support vector machine
- gabor filters
- text classification
- image features
- training set
- image processing
- feature representation
- discrete wavelet transform
- feature subset
- heart rate
- remote sensing
- subspace methods
- kernel function
- wavelet transform
- multiresolution
- support vector
- multiscale