MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG.
Jing ZhangDeng LiangAiping LiuMin GaoXiang ChenXu ZhangXun ChenPublished in: CoRR (2020)
Keyphrases
- multi class
- support vector machine
- multi class classification
- cost sensitive
- multi class classifier
- multiclass classification
- multiple classes
- multi class svms
- multi class boosting
- binary classifiers
- feature selection
- binary and multi class
- binary classification problems
- multi class classifiers
- multiclass problems
- multi class svm
- object detection
- classification accuracy
- binary classification
- machine learning
- decision trees
- class probabilities
- cost sensitive learning
- kernel logistic regression
- neural network
- feature extraction
- svm classifier
- feature space
- text classification
- error correcting output codes
- protein classification
- single class
- mit bih arrhythmia database
- feature vectors
- feature set
- machine learning methods
- string kernels
- text categorization
- support vector machine svm
- ecg signals
- cross validation
- classification algorithm
- decision boundary