A novel method computing wave-front flow fields from sparse electrode grids correlated with activation maps and successfully identified clinically significant rotors and focal sources in human arrhythmias.
Can a dynamic vector field computed from sparse electrode grids accurately identify rotors and focal sources in human arrhythmias?
A novel method computing wave-front flow fields from sparse electrode grids can identify clinically significant rotors and focal sources, potentially enhancing mapping and therapies for cardiac arrhythmias.
We present a general method of utilizing bioelectric recordings from a spatially sparse electrode grid to compute a dynamic vector field describing the underlying propagation of electrical activity. This vector field, termed the wave-front flow field, permits quantitative analysis of the magnitude of rotational activity (vorticity) and focal activity (divergence) at each spatial point. We apply this method to signals recorded during arrhythmias in human atria and ventricles using a multipolar contact catheter and show that the flow fields correlate with corresponding activation maps. Further, regions of elevated vorticity and divergence correspond to sites identified as clinically significant rotors and focal sources where therapeutic intervention can be effective. These flow fields can provide quantitative insights into the dynamics of normal and abnormal conduction in humans and could potentially be used to enhance therapies for cardiac arrhythmias.
Vidmar et al. (Wed,) conducted a other in Cardiac arrhythmias. Wave-front flow field computation from sparse electrode grid recordings was evaluated on Correlation of flow fields with activation maps and identification of rotors and focal sources. A novel method computing wave-front flow fields from sparse electrode grids correlated with activation maps and successfully identified clinically significant rotors and focal sources in human arrhythmias.