An animated electrophysiology map is generated from a plurality of data points, each including measured electrophysiology information, location information, and timing information. The electrophysiology and location information can be used to generate the electrophysiology map, such as a local activation time, peak-to-peak voltage, or fractionation map. Animated timing markers can be superimposed upon the electrophysiology map using the electrophysiology, location, and timing information. For example a series of frames can be displayed sequentially, each including a static image of the electrophysiology map at a point in time and timing markers corresponding to the state or position of an activation wavefront at the point in time superimposed thereon. The visibility or opacity of the timing markers can be adjusted from frame to frame, dependent upon a distance between the timing marker and the activation wavefront, to give the illusion that the timing markers are moving along the electrophysiology map.

In an example, a method includes receiving a cardiac signal that is sensed by an electrode at a tissue location inside the heart. Fractionations are identified in the cardiac signal. The fractionations identified at the tissue location are compared between first and second cardiac cycles of the cardiac signal. Based on the comparing, a likelihood is estimated, that the tissue location is causing a stable arrhythmia. Based on the estimated likelihood, the tissue location is indicated to a user as likely to be causing the stable arrhythmia.

In an example, a method includes receiving a cardiac signal that is sensed by an electrode at a tissue location inside the heart. Fractionations are identified in the cardiac signal. The fractionations identified at the tissue location are compared between first and second cardiac cycles of the cardiac signal. Based on the comparing, a likelihood is estimated, that the tissue location is causing a stable arrhythmia. Based on the estimated likelihood, the tissue location is indicated to a user as likely to be causing the stable arrhythmia.

A method includes receiving a first representation of an internal surface of at least a portion of a wall of an organ of a patient, and a second representation of an external surface of at least the portion of the wall of the organ. The first and second representations are registered with one another. An exploded representation is generated from the first and second representations, that shows both the internal surface and the external surface. The exploded representation is presented to a user.

A system to generate a representation of a rhythm disorder that includes identifying remote or polar sources associated with a cardiac rhythm disorder is disclosed. The system includes generated a representation based on the cardiac information signals received from the sensors by transformation of spline-sensor locations of the catheter to x-y coordinate pairs of locations. A first offset is determined resulting from a perturbation to corresponding x-y coordinate pairs of locations associated with the representation, the first offset displacing coordinate pairs of sensor locations of the representation at least one unit of displacement in a first direction. A remote source associated with a cardiac rhythm disorder is identified when activations associated with the cardiac information signals rotate in sequence at least once, or emanate centrifugally for at least a first time period, the source being identified based on the representation as displaced. A corresponding method and computer-readable medium are also disclosed.

A medical display processing device and a method of reusing data includes acquiring, over time via electrodes, electrical signals each acquired via one of the electrodes and indicating electrical activity at a location of a portion of patient anatomy in a 3D space. Electrical signal data, corresponding to the electrical signals, is filtered according to first filter parameter settings and first mapping information is generated for displaying a map of the portion of patient anatomy and the filtered electrical signal data. An indication of a region of the portion of patient anatomy on the map is received and second mapping information is generated for displaying, at the region on the map, a portion of the electrical signal data previously filtered from display.

A non-contact cardiac mapping method is disclosed that includes: (i) inserting a catheter into a heart cavity having an endocardium surface, the catheter including multiple, spatially distributed electrodes; (ii) measuring signals at the catheter electrodes in response to electrical activity in the heart cavity with the catheter spaced from the endocardium surface; and (iii) determining physiological information at multiple locations of the endocardium surface based on the measured signals and positions of the electrodes with respect to the endocardium surface. Related systems and computer programs are also disclosed.

A method for determining the degree of parallel activation of a heart undergoing pacing includes calculating vectorcardiogram (VCG), or electrocardiogram (ECG), or electrogram (EGM) waveforms from right ventricular pacing (RVp) and left ventricular pacing (LVp). A synthetic biventricular pacing (BIVP) waveform is generated by summing the VCG of the RVp and LVp, or by summing the ECG of the RVp and the LVp, or by summing the EGM of the RVp and the LVp. A corresponding EGM or ECG or VCG waveform from real BIVP is calculated. The method includes comparing the synthetic BIVP waveform and the real BIVP waveform and calculating time to fusion by determining the point in time in which the activation from RVp and LVp meets and the synthetic and the real BIVP curves start to deviate. A delay in time to fusion indicates a higher degree of parallel activation.

A method for determining the degree of parallel activation of a heart undergoing pacing includes calculating vectorcardiogram (VCG), or electrocardiogram (ECG), or electrogram (EGM) waveforms from right ventricular pacing (RVp) and left ventricular pacing (LVp). A synthetic biventricular pacing (BIVP) waveform is generated by summing the VCG of the RVp and LVp, or by summing the ECG of the RVp and the LVp, or by summing the EGM of the RVp and the LVp. A corresponding EGM or ECG or VCG waveform from real BIVP is calculated. The method includes comparing the synthetic BIVP waveform and the real BIVP waveform and calculating time to fusion by determining the point in time in which the activation from RVp and LVp meets and the synthetic and the real BIVP curves start to deviate. A delay in time to fusion indicates a higher degree of parallel activation.

This disclosure relates generally to a computational model for personalizing defibrillation mechanism of wearable cardiac defibrillator (WCD). Cardiac defibrillators are lifesaving therapeutic device with potentially harming capacity if not tuned properly. Hence creation of a personalized energy distribution model based on subject's anatomy, rather than a ‘one size fits all’ approach is preferred. The disclosed model compares the efficiency of standard and nonstandard WCD electrode placement in the torso vest, demonstrating significant differences in defibrillation efficacy associated with different strategies. A new measure is presented for performing such a comparison which combines the DFT and extent of myocardial damage.