Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation Events

ConclusionVisualizing and quantifying irregular irregularities will be of value for both rapid visual inspection of long Holter recordings for the presence and the burden of AF, and for machine learning classification to identify AF episodes. A free online tool for calculating the indices, drawing RGGs and estimating AF burden, is available.
Source: Frontiers in Physiology - Category: Physiology Source Type: research