ABSTRACT
ECG monitoring system value chain research and analysis helps to understand the value and contribution of each process in the system, the best practices that each process can adopt, and the goal of the whole system to ensure better diagnosis of disease goal. The ECG monitoring value chain includes a series of general processes such as data collection, preprocessing, feature extraction, processing, analysis, and visualization. Artificial intelligence could therefore become a great help. It will undoubtedly enable them, in the near future, to provide better care for people who have undergone ECGs due to suspected fibrillation. Atrial—or auricular—fibrillation affects 1% of the population, but especially the elderly. It is defined by anarchic and rapid electrical activity of the atria (upper chambers of the heart) and it results in their disordered and inefficient contraction.
