Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation.
Álvaro HuertaArturo Martínez-RodrigoDavide CarneiroVicente Bertomeu-GonzálezJosé Joaquín RietaRaúl AlcarazPublished in: IEEE Access (2023)
Keyphrases
- quality assessment
- atrial fibrillation
- supervised learning algorithms
- ecg signals
- heart rate variability
- image quality
- learning algorithm
- left atrium
- supervised learning
- human visual system
- data quality
- machine learning algorithms
- unlabeled data
- learning problems
- prior knowledge
- high dimensional
- computational complexity
- high quality
- feature selection