ECG arrhythmia classification using modified visual geometry group network (mVGGNet).
Manisha JangraSanjeev Kr. DhullKrishna Kant SinghPublished in: J. Intell. Fuzzy Syst. (2020)
Keyphrases
- heart rate variability
- pattern recognition
- beat classification
- feature vectors
- classification accuracy
- feature extraction
- classification systems
- text classification
- decision trees
- classification models
- decision rules
- training samples
- image classification
- benchmark datasets
- neural network
- support vector
- peer to peer
- three dimensional
- radial basis function network
- ecg signals
- preprocessing
- classification scheme
- automatic classification
- cost sensitive
- communication networks
- classification rules
- visual information
- wireless sensor networks
- support vector machine svm
- visual features
- network traffic
- network structure
- active learning
- classification algorithm
- group members
- support vector machine
- mit bih arrhythmia database