Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification.
Mohamed HammadSouham MeshoulPiotr DziwinskiPawel PlawiakIbrahim A. ElgendyPublished in: Sensors (2022)
Keyphrases
- lightweight
- heart rate variability
- classification accuracy
- beat classification
- ecg signals
- wireless sensor networks
- communication infrastructure
- pattern recognition
- feature vectors
- feature selection
- image classification
- support vector machine
- mit bih arrhythmia database
- text classification
- support vector machine svm
- classification method
- feature space
- dos attacks
- feature extraction
- data fusion
- information fusion
- handheld devices
- classifier combination
- decision trees
- machine learning