Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation: Local and Global Prediction Models

Atrial fibrillation (AF) is the most common type of heart arrhythmia. AF is highly associated with other cardiovascular diseases, such as heart failure, coronary artery disease and can lead to stroke. Unfortunately, in some cases people with atrial fibrillation have no explicit symptoms and are unaware of their condition until it is discovered during a physical examination. Thus, it is considered a priority to define highly accurate automatic approaches to detect such a pathology in the context of a massive screening.