An automatic ECG arrhythmia diagnosis system using support vector machines optimised with GOA and entropy-based feature selection procedure.
Abdullah Jafari ChashmiMehdi Chehel AmiraniPublished in: Int. J. Medical Eng. Informatics (2022)
Keyphrases
- ecg signals
- automatic diagnosis
- heart rate variability
- atrial fibrillation
- fully automatic
- heart disease
- beat classification
- feature set
- multiple faults
- semi automatic
- data sets
- retinal vessel
- mit bih arrhythmia database
- fault diagnosis
- neural network
- feature values
- invariant features
- medical diagnosis
- signal processing
- image features
- information retrieval
- database