An Enhanced QRS Detection Algorithm in the Multiple Leads Environments

Abstract

There have been many algorithms to remove noise and detect QRS complexes of Electrocardiograph (ECG) signal. However all process of these works are done at just one lead. Through the influence of medical necessity, ECG analysis uses 10 lead sensor to observe 12 leads which show different angles of heart. Thus, we make an enhanced QRS detection algorithm in the multiple leads environment. In this environment, when some leads show noisy result, there could be a fine lead to detect QRS complexes. From this fact, we split signals with few seconds and discriminate the cleanest lead in each interval. After that working, we use the information about R positions from the finest lead at noisy signals to find accurate QRS complexes. This algorithm could gather information that each lead gives.