Classification of cardiac electrical signals between patients with myocardial infarction and normal subjects by using nonlinear dynamics features and different classification models.
Muqing DengXiaoyu HuangZhigao LiangWentao LinBeixi MoDakai LiangShuhua RuanJie ChenPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- classification models
- normal subjects
- myocardial infarction
- spect images
- feature set
- nonlinear dynamics
- brain activity
- training data
- decision trees
- heart failure
- left ventricular
- left ventricle
- feature selection
- feature subset
- magnetic resonance images
- brain tissue
- brain imaging
- feature ranking
- data sets
- classification accuracy
- feature space
- dynamical systems
- image classification
- eeg signals
- signal processing
- training set
- feature extraction
- machine learning
- neural network