Detecting Cardiac Abnormalities From 12-lead ECG Signals Using Feature Selection, Feature Extraction, and Machine Learning Classification.
Garrett PerkinsChase McGlinnMuhammad RizwanBradley M. WhitakerPublished in: CinC (2020)
Keyphrases
- feature selection
- feature extraction
- machine learning
- ecg signals
- classification accuracy
- text classification
- feature space
- feature set
- support vector machine
- pattern recognition
- support vector
- classification models
- feature vectors
- high dimensionality
- feature selection algorithms
- dimension reduction
- machine learning methods
- dimensionality reduction
- image classification
- support vector machine svm
- preprocessing
- extracting features
- text categorization
- pattern classification
- method for feature selection
- irrelevant features
- unsupervised learning
- feature selection and classification
- feature extraction and classification
- feature ranking
- machine learning algorithms
- model selection
- mit bih arrhythmia database
- cardiac arrhythmias
- electrical activity
- feature level fusion
- feature reduction
- input features
- discriminative features
- multi class
- knn
- decision trees
- selected features
- feature subset
- texture analysis
- medical images
- learning algorithm