ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network.
Tetiana BiloborodovaInna Skarga-BandurovaIllia Skarha-BandurovYelyzaveta YevsieievaOleh BiloborodovPublished in: MIE (2022)
Keyphrases
- neural network
- classification accuracy
- feature extraction
- feature set
- feature vectors
- classification process
- pattern recognition
- feature space
- classification models
- classification method
- benchmark datasets
- extracted features
- classification decisions
- feature values
- classification scheme
- class labels
- features extraction
- feature analysis
- feature selection
- svm classifier
- feature construction
- high dimensionality
- learning vector quantization
- image features
- ecg signals
- feature weights
- feature extraction and classification
- eeg signals
- pattern classification
- nearest neighbour
- feature representation
- support vector
- decision tree classifiers
- artificial neural networks
- classification algorithm
- textural features
- extracting features
- feature reduction
- multiple classifiers
- binary decision tree
- self organizing maps
- back propagation
- machine learning algorithms
- model selection
- supervised learning
- support vector machine
- knn
- low level
- training set
- decision trees
- learning algorithm
- machine learning