Classification of Atrial Tachycardia Types Using Dimensional Transforms of ECG Signals and Machine Learning.
Samuel Ruipérez-CampilloJosé MilletFrancisco CastellsPublished in: CinC (2022)
Keyphrases
- machine learning
- ecg signals
- decision trees
- machine learning methods
- pattern recognition
- machine learning algorithms
- supervised machine learning
- support vector machine
- text classification
- supervised learning
- heart rate variability
- atrial fibrillation
- classification accuracy
- supervised classification
- feature selection
- classification algorithm
- support vector
- learning algorithm
- model selection
- classification method
- feature vectors
- mit bih arrhythmia database