Human machine interfacing technique for diagnosis of ventricular arrhythmia using supervisory machine learning algorithms.
Hemalatha KarnanSivakumaran NatarajanRajajeyakumar ManivelPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- machine learning algorithms
- human machine
- atrial fibrillation
- heart rate variability
- benchmark data sets
- learning algorithm
- ecg signals
- machine learning
- human machine interaction
- predictive accuracy
- decision trees
- heart disease
- learning problems
- spoken dialogue systems
- left atrium
- human operators
- machine learning methods
- input features
- machine learning approaches
- control system
- random forests
- learning tasks
- statistical machine learning
- spectral analysis
- artificial neural networks
- learning models
- image segmentation
- transfer learning
- real world