A novel real-time system for detecting rotational activity in atrial fibrillation using local activation time estimation and optical flow was developed and validated on in-silico and real AF signals.
A novel real-time signal processing system using optical flow and local activation time estimation can successfully detect rotational activity in atrial fibrillation, potentially aiding in rotor-guided ablation.
Rotational activations, or spiral waves, are one of the proposed mechanisms for atrial fibrillation (AF) maintenance. We present a system for assessing the presence of rotational activity from intracardiac electrograms (EGMs). Our system is able to operate in real-time with multi-electrode catheters of different topologies in contact with the atrial wall, and it is based on new local activation time (LAT) estimation and rotational activity detection methods. The EGM LAT estimation method is based on the identification of the highest sustained negative slope of unipolar signals. The method is implemented as a linear filter whose output is interpolated on a regular grid to match any catheter topology. Its operation is illustrated on selected signals and compared to the classical Hilbert-Transform-based phase analysis. After the estimation of the LAT on the regular grid, the detection of rotational activity in the atrium is done by a novel method based on the optical flow of the wavefront dynamics, and a rotation pattern match. The methods have been validated using in-silico and real AF signals.
Ríos‐Muñoz et al. (Tue,) conducted a other in Atrial fibrillation. Real-time rotational activity detection system vs. Classical Hilbert-Transform-based phase analysis was evaluated on Detection of rotational activity. A novel real-time system for detecting rotational activity in atrial fibrillation using local activation time estimation and optical flow was developed and validated on in-silico and real AF signals.