Method and system for source localization of atrial fibrillation

A system comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• obtain a plurality of heart scan images and a plurality of torso scan images;
• extract a) one or more atrial meshes from the plurality of heart scan images, and b) one or more torso meshes from the plurality of torso scan images;
• sample one or more Body Surface Potential (BSP) signals from the one or more torso meshes and the one or more atrial meshes, wherein the one or more hardware processors are configured to pre-process the one or more BSP signals before identifying the one or more probable rotor regions by:
• segregating the one or more BSP signals into a plurality of consecutive time windows;
• removing noise from the one or more BSP signals in each of the plurality of consecutive time windows using a notch filter;
• and
• removing baseline wandering from the one or more BSP signals in each of the plurality of consecutive time windows using a multilevel 1-dimensional wavelet decomposition technique;
• determine a cardiac potential from the one or more BSP signals;
• identify one or more probable rotor regions in the one or more atrial meshes based on the cardiac potential;
• determine an Atrial Fibrillation-Dominant Frequency (AF-DF) probability based on the cardiac potential;
• and
• determine a probability of localizing AF source in the one or more atrial meshes by combining the identified one or more probable rotor regions and the AF-DF probability, wherein the one or more atrial meshes having the probability exceeding a threshold of the probability indicate locations of source of atrial fibrillation.

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• obtaining a plurality of heart scan images and a plurality of torso scan images;
• extracting a) one or more atrial meshes from the plurality of heart scan images, and b) one or more torso meshes from the plurality of torso scan images;
• sampling one or more Body Surface Potential (BSP) signals from the one or more torso meshes and the one or more atrial meshes, wherein the one or more BSP signals are pre-processed before identifying the one or more probable rotor regions by:
• segregating the one or more BSP signals into a plurality of consecutive time windows;
• removing noise from the one or more BSP signals in each of the plurality of consecutive time windows using a notch filter;
• and
• removing baseline wandering from the one or more BSP signals in each of the plurality of consecutive time windows using a multilevel 1-dimensional wavelet decomposition technique;
• determining a cardiac potential from the one or more BSP signals;
• identifying one or more probable rotor regions in the one or more atrial meshes based on the cardiac potential;
• determining an Atrial Fibrillation-Dominant Frequency (AF-DF) probability based on the cardiac potential;
• and
• determining a probability of localizing AF source in the one or more atrial meshes by combining the identified one or more probable rotor regions and the AF-DF probability, wherein the one or more atrial meshes having the probability exceeding a threshold of the probability indicate locations of source of atrial fibrillation.