Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification.
Hadjer BechiniaDjamel BenmerzougNawres KhlifaPublished in: IEEE Access (2024)
Keyphrases
- lightweight
- convolutional neural network
- ecg signals
- heart rate variability
- mit bih arrhythmia database
- fine tuned
- beat classification
- pattern recognition
- spectral analysis
- face detection
- decision trees
- heart rate
- signal processing
- text classification
- eeg signals
- classification accuracy
- development environments
- machine learning
- intrusion detection
- feature extraction
- handheld devices
- dos attacks
- training data
- face recognition
- domain specific
- wireless sensor networks
- pairwise
- feature selection
- feature space