Empirical Mode Decomposition with Fuzzy Weight Beetle Swarm Optimization (EMD-FWBSO) Denoising and Enhanced Kernel Support Vector Machine (EKSVM) Classifier for Arrhythmia in Electrocardiogram Recordings.
R. R. ThirrunavukkarasuT. Meera DeviPublished in: J. Medical Imaging Health Informatics (2021)
Keyphrases
- empirical mode decomposition
- support vector machine
- swarm optimization
- heart rate variability
- denoising
- stock market prediction
- kernel function
- support vector
- svm classifier
- non stationary
- kernel methods
- ecg signals
- feature space
- signal analysis
- mit bih arrhythmia database
- heart rate
- wavelet decomposition
- training data
- swarm intelligence
- wavelet domain
- feature reduction
- spectral analysis
- image denoising
- feature selection
- multi band
- particle swarm optimization
- image processing
- extracted features
- noisy images
- natural images
- feature vectors
- training set
- pso algorithm
- machine learning
- feature set
- eeg signals
- particle swarm optimization pso
- fuzzy logic
- wavelet packet
- intrinsic mode functions
- frequency domain
- multiresolution
- multiscale
- simulated annealing
- distance measure
- hilbert huang transform