: A novel convolutional neural network architecture for arrhythmia classification from electrocardiograms.
Namho KimWonju SeoJu-ho KimSo Yoon ChoiSung-Min ParkPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- convolutional neural network
- pattern recognition
- face detection
- classification accuracy
- text classification
- feature extraction
- image classification
- pattern classification
- management system
- feature selection
- decision trees
- machine learning
- automatic classification
- classification scheme
- support vector
- supervised learning
- classification process
- unsupervised learning
- support vector machine svm
- training set
- svm classifier
- neural network
- heart rate variability
- atrial fibrillation
- classification models
- learning algorithm
- classification rules
- decision rules
- preprocessing
- model selection
- data sets
- feature vectors
- expert systems