Memory Classifiers for Robust ECG Classification against Physiological Noise.
Kuk Jin JangSouradeep DuttaJean ParkJames WeimerInsup LeePublished in: EMBC (2023)
Keyphrases
- classification systems
- support vector
- classification models
- decision trees
- classification method
- classification algorithm
- svm classifier
- classifier combination
- classification rate
- feature selection
- classification process
- discriminant functions
- image noise
- robust classification
- improves the classification accuracy
- machine learning methods
- unbalanced data
- supervised classification
- multiple classifier systems
- heart rate
- heart rate variability
- rule based classifier
- pattern recognition
- probabilistic classifiers
- accurate classification
- training set
- classification accuracy
- support vector machine
- feature set
- optimum path forest
- higher classification accuracy
- class labels
- classification procedure
- training samples
- training data
- feature extraction
- machine learning algorithms
- correctly classified
- multiple classifiers
- individual classifiers
- decision boundary
- k nearest neighbour
- multiclass classification
- text classification
- roc curve
- nearest neighbour
- classification decisions
- multi category
- image classification
- imbalanced data sets
- linear classifiers
- nearest neighbor classifier
- decision tree classifiers
- accurate classifiers
- noisy environments
- classifier ensemble
- class conditional
- majority voting
- machine learning
- sufficient training data
- salt pepper
- support vector machine classifiers
- associative classifiers
- feature reduction
- fold cross validation
- naive bayes
- supervised learning
- learning algorithm