Heartbeat Classification Using Convolution Neural Network and Wavelet Transform to Extract Features.
Lishen QiuWanyue LiWenqiang CaiMiao ZhangWenliang ZhuLirong WangPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Keyphrases
- wavelet transform
- neural network
- classification accuracy
- feature extraction
- feature set
- feature vectors
- pattern recognition
- classification process
- classification method
- svm classifier
- features extraction
- feature space
- class labels
- support vector machine svm
- extracting features
- classification models
- feature analysis
- extracted features
- wavelet features
- benchmark datasets
- image classification
- multiresolution
- learning vector quantization
- automatically extracted
- subband
- probabilistic neural network
- feature selection
- image coding
- machine learning
- automatic classification
- feature representation
- feature values
- gabor filters
- pattern classification
- high dimensionality
- text classification
- multiscale
- image processing
- ecg signals
- discriminative features
- automatically classify
- feature maps
- feature selection algorithms
- feature subset
- false positives
- image compression
- image features
- artificial neural networks
- training set
- support vector
- training data