Heart arrhythmia diagnosis based on the combination of morphological, frequency and nonlinear features of ECG signals and metaheuristic feature selection algorithm.
Vajihe MazaheriHamed KhodadadiPublished in: Expert Syst. Appl. (2020)
Keyphrases
- ecg signals
- atrial fibrillation
- metaheuristic
- feature selection algorithms
- cardiac arrhythmias
- mit bih arrhythmia database
- beat classification
- critical care
- feature selection
- feature set
- tabu search
- simulated annealing
- optimization problems
- ant colony optimization
- electrical activity
- search space
- selected features
- irrelevant features
- heart rate
- heart disease
- scatter search
- combinatorial optimization
- optimal solution
- feature subset
- optimization method
- genetic algorithm
- medical diagnosis
- selection algorithm
- data sets
- particle swarm optimization
- heart rate variability
- feature space
- extracted features
- iterated local search
- classification accuracy
- evolutionary algorithm
- artificial neural networks
- feature extraction