A CNN-Based Cardiac Arrhythmia Classification Algorithm with Wavelet Transform and Training Sample Balancing Rule.
Qinxin ZhouYang ZhaoYong LianPublished in: BioCAS (2021)
Keyphrases
- classification algorithm
- training samples
- wavelet transform
- training set
- classification rules
- learning algorithm
- heart disease
- ecg signals
- multiresolution
- training data
- test sample
- subband
- heart rate variability
- image compression
- multiscale
- classification method
- knn
- class labels
- feature space
- support vector machine
- naive bayes
- supervised learning
- cardiac arrhythmias
- training examples
- training phase
- k nearest neighbor
- active learning
- feature extraction
- classification accuracy
- data sets
- nearest neighbor
- mit bih arrhythmia database
- accurate classification
- decision trees
- filter bank
- high dimensional
- sample set
- machine learning
- information retrieval
- data mining
- neural network
- atrial fibrillation
- beat classification