Denoising ECG Signals by Using Extended Kalman Filter to Train Multi-Layer Perceptron Neural Network.
S. GaamouriMounir Bousbia-SalahR. HamdiPublished in: Autom. Control. Comput. Sci. (2018)
Keyphrases
- multi layer perceptron
- extended kalman filter
- neural network
- ecg signals
- denoising
- back propagation
- training algorithm
- artificial neural networks
- radial basis function
- multilayer perceptron
- kalman filter
- neural network model
- kalman filtering
- computer simulation
- image processing
- mlp neural networks
- fuzzy logic
- bp neural network
- pattern recognition
- state estimation
- estimation process
- activation function
- estimation accuracy
- particle filter
- mit bih arrhythmia database
- target tracking
- fuzzy artmap
- hidden layer
- data sets
- support vector machine
- training data
- simultaneous localization and mapping
- error rate