Description
Background - Atrial fibrillation (AF) is the most common cardiac arrhythmia. It affects an estimated 2.3 million United States citizens, and this number is only expected to increase as the general population ages. Automatic detection of AF could provide cardiologists with significant information for accurate and reliable diagnosis and monitoring of AF and is crucial for clinical therapy. However, monitoring AF remains an open area of research when the heart rate is controlled.
Developing An Atrial Activity-based Algorithm For Detection Of Atrial Fibrillation
Background - Atrial fibrillation (AF) is the most common cardiac arrhythmia. It affects an estimated 2.3 million United States citizens, and this number is only expected to increase as the general population ages. Automatic detection of AF could provide cardiologists with significant information for accurate and reliable diagnosis and monitoring of AF and is crucial for clinical therapy. However, monitoring AF remains an open area of research when the heart rate is controlled.
