ECG heartbeat arrhythmias classification: a comparison study between different types of spectrum representation and convolutional neural networks architectures.
Ali Mohammad AlqudahShoroq QazanLina Al-EbbiniHiam AlquranIsam Abu-QasmiehPublished in: J. Ambient Intell. Humaniz. Comput. (2022)
Keyphrases
- ecg signals
- convolutional neural networks
- feature representation
- mit bih arrhythmia database
- classification accuracy
- image classification
- support vector machine
- classification method
- classification systems
- heart rate
- support vector
- feature vectors
- training set
- pattern recognition
- feature extraction
- classification process
- robust classification
- automatic classification
- classification models
- text classification
- preprocessing
- pattern classification
- classification rules
- machine learning methods
- object classification
- class labels
- support vector machine svm
- image representation
- unsupervised learning
- feature space
- machine learning
- dissimilarity representation