A method includes receiving (i) a modeled surface of at least a portion of a heart and (ii) multiple EP values measured at multiple respective positions in the heart. Multiple regions are defined on the modeled surface and, for each region, a confidence level is estimated for the EP values whose positions fall in the region. The modeled surface is presented to a user, including (i) the EP values overlaid on the modeled surface, and (ii) the confidence level graphically visualized in each region of the modeled surface.

A display control device includes processing circuitry configured to: obtain an intracardiac electrocardiogram of a subject; generate visualization data representing an excitation state of a myocardium based on the intracardiac electrocardiogram; determine a type of excitation dynamics of the myocardium based on the visualization data; and display, on a stereoscopic image of a heart of the subject, a site from which the intracardiac electrocardiogram is obtained with a color in accordance with a ratio of the determined type of the excitation dynamics.

A method includes presenting, on a display, an electroanatomical (EA) map of a surface of a cavity of an organ. Input is received from a user, and, in response to the user input, a region of the EA map is locked to subsequent updates.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect a location of a source of at least one cardiac rhythm disorder in a patient's heart, such as atrial fibrillation, and to classify same. Velocity vector maps reveal the location of the source of the at least one cardiac rhythm disorder in the patient's heart, which may be, by way of example, an active rotor in the patient's myocardium and atrium. The resulting velocity vector map may be further processed and/or analyzed to classify the nature of the patient's cardiac rhythm disorder, e.g., as Type A, B or C atrial fibrillation. The resulting cardiac rhythm classification then can be used to determine the optimal, most efficacious and/or most economic treatment or surgical procedure that should be provided to the individual patient. A simple and computationally efficient intra-cardiac catheter-based navigation system is also described. Also described and disclosed are various intra-cardiac catheter-based navigation systems.

In one embodiment, a method includes receiving first intracardiac signals including first far-field components captured by at least one first sensing electrode of a first catheter, the at least one sensing electrode being in contact with tissue of a cardiac chamber of a first living subject, and at least one far-field signal captured from at least one far-field electrode inserted into the cardiac chamber and not in contact with the tissue of the cardiac chamber, training a neural network to remove far-field components from intracardiac signals responsively to the first intracardiac signals and the at least one far-field signal, receiving second intracardiac signals captured by at least one second sensing electrode of a second catheter inserted into a cardiac chamber of a second living subject, and applying the trained neural network to the second intracardiac signals to remove respective second far-field components from the second intracardiac signals.

In one embodiment, a method includes receiving first intracardiac signals including first far-field components captured by at least one first sensing electrode of a first catheter, the at least one sensing electrode being in contact with tissue of a cardiac chamber of a first living subject, and at least one far-field signal captured from at least one far-field electrode inserted into the cardiac chamber and not in contact with the tissue of the cardiac chamber, training a neural network to remove far-field components from intracardiac signals responsively to the first intracardiac signals and the at least one far-field signal, receiving second intracardiac signals captured by at least one second sensing electrode of a second catheter inserted into a cardiac chamber of a second living subject, and applying the trained neural network to the second intracardiac signals to remove respective second far-field components from the second intracardiac signals.

A method includes presenting, on a display, an electroanatomical (EA) map of a surface of a cavity of an organ. Input is received from a user, and, in response to the user input, a region of the EA map is locked to subsequent updates.

A method, including receiving sets of signals during multiple cardiac cycles, each set indicating, for a probe inserted into a cardiac chamber, a 3D location of a distal end of the probe, electrical potentials measured at the location, and respective times during a given cycle when the potentials were measured. The received measurements and the respective times are compared to a first template for a sinus rhythm cycle and a second template for a non-sinus rhythm cycle so as to identify a sequence of cycles including consecutive first, second, and third cycles wherein the first and second cycles match the first template and the third cycle matches the second template. A physical map is generated based on the locations. Based on the received locations and corresponding potentials, an electroanatomic map including the local activation times for the non-sinus rhythm cycle overlaid on the physical map is rendered to a display.

A method, including receiving sets of signals during multiple cardiac cycles, each set indicating, for a probe inserted into a cardiac chamber, a 3D location of a distal end of the probe, electrical potentials measured at the location, and respective times during a given cycle when the potentials were measured. The received measurements and the respective times are compared to a first template for a sinus rhythm cycle and a second template for a non-sinus rhythm cycle so as to identify a sequence of cycles including consecutive first, second, and third cycles wherein the first and second cycles match the first template and the third cycle matches the second template. A physical map is generated based on the locations. Based on the received locations and corresponding potentials, an electroanatomic map including the local activation times for the non-sinus rhythm cycle overlaid on the physical map is rendered to a display.

A method includes storing an anatomical map of at least a portion of a surface of a heart. Respective electrogram (EGM) signal amplitudes measured at respective positions on the surface of the heart are stored. Based on the on the EGM signal amplitudes, defined are: one or more first regions of the surface in which the EGM signal amplitudes are fractionated, and one or more second regions of the surface in which the EGM signal amplitudes are non-fractionated. A first surface representation is generated for the fractionated EGM signal amplitudes in the first regions. Propagation times are extracted from the non-fractionated EGM signal amplitudes in the second regions, and a second surface representation of the propagation times is derived. The first and second surface representations of the respective first and second regions of the surface are simultaneously presented, overlaid on the anatomical map.