ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network.
Jingshan HuangBinqiang ChenBin YaoWangpeng HePublished in: IEEE Access (2019)
Keyphrases
- convolutional neural network
- pattern analysis
- heart rate variability
- pattern recognition
- classification accuracy
- beat classification
- face detection
- ecg signals
- text classification
- mit bih arrhythmia database
- feature space
- neural network
- machine learning
- classification process
- classification scheme
- automatic classification
- support vector
- benchmark datasets
- pattern classification
- classification method
- data sets
- feature extraction
- feature vectors
- support vector machine svm
- image classification
- signal processing
- active learning
- machine learning methods
- training samples
- preprocessing
- face recognition
- feature selection
- supervised learning