Prediction of Ventricular Fibrillation from HRV Signals Using Combination of Genetic Algorithm and Neural Networks.
Javid Farhadi SedehiNader Jafarnia DabanlooGholamreza AttarodiMehdi EslamizadehPublished in: CinC (2017)
Keyphrases
- genetic algorithm
- neural network
- heart rate variability
- spectral analysis
- heart rate
- prediction accuracy
- prediction model
- back propagation
- pattern recognition
- artificial neural networks
- mit bih arrhythmia database
- artificial neural networks to predict
- fuzzy logic
- signal processing
- fitness function
- simulated annealing
- neural network ensemble
- prediction algorithm
- multi objective
- atrial fibrillation
- genetic algorithm ga
- neural nets
- multilayer perceptron
- radial basis function neural network
- ecg signals
- neural networks and support vector machines
- self organizing maps
- fault diagnosis
- evolutionary algorithm
- hopfield neural network
- multi layer
- metaheuristic
- prediction error
- non stationary
- feed forward
- neural network model
- radial basis function
- speech recognition