A method includes receiving multiple electrophysiological (EP) signals acquired by multiple electrodes of a multi-electrode catheter that are in contact with tissue in a region of a cardiac chamber, and respective tissue locations at which the electrodes acquired the EP signals. The region is divided into two sections. Using the EP signals acquired by the electrodes, local activation times (LAT) are calculated for the respective tissue locations, and found are: a first section of the two sections having a smaller average LAT value, and a second section of the two sections having a higher average value. Determined are a first representative location in the first section, and a second representative location in the second section. A propagation vector is calculated between the first and second representative locations, that is indicative of propagation of an EP wave that has generated the EP signals. The propagation vector is presented to a user.

A method and apparatus of mapping efficiency by suggesting map points location includes receiving data at a machine, the data including a plurality of signals received during the performance of a triangulation to locate a focal tachycardia, generating, by the machine, a prediction model as to the location of the focal tachycardia, and modifying, by the machine, the prediction model based upon additional data received by the machine.

This invention relates to an ex vivo use of the instantaneous frequency modulation (iFM) signal of cardiac activations and to an ex vivo use of the instantaneous amplitude modulation (iAM) signal obtained from the sequence of amplitude excursions of said activations for detecting ‘driver’ or ‘high-hierarchy’ regions and/or the cardiac spots that display the footprint of rotational activations in the heart of a subject with cardiac fibrillation without requiring panoramic simultaneous acquisition.

This invention relates to an ex vivo use of the instantaneous frequency modulation (iFM) signal of cardiac activations and to an ex vivo use of the instantaneous amplitude modulation (iAM) signal obtained from the sequence of amplitude excursions of said activations for detecting ‘driver’ or ‘high-hierarchy’ regions and/or the cardiac spots that display the footprint of rotational activations in the heart of a subject with cardiac fibrillation without requiring panoramic simultaneous acquisition.

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.

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.

Method for generating an activation map indicative of a time propagation of an action potential wavefront in a heart of a patient, the method being executed by a control unit and comprising the steps of: acquiring measured electrocardiography, ECG, data of the patient; generating, based on white noise, at least one set of identification parameters, each set of identification parameters identifying respective random ECG data and a respective random activation map that is indicative of a respective time propagation of a random action potential wavefront in the heart of the patient; generating, based on each set of identification parameters, said respective random ECG data; comparing the random ECG data and the measured ECG data to determine if there is correspondence between them; and if there is correspondence between the random ECG data and the measured ECG data, generating the activation map based on the at least one random activation map determined based on the at least one set of identification parameters used to obtain the random ECG data in correspondence with the measured ECG data.

Method for generating an activation map indicative of a time propagation of an action potential wavefront in a heart of a patient, the method being executed by a control unit and comprising the steps of: acquiring measured electrocardiography, ECG, data of the patient; generating, based on white noise, at least one set of identification parameters, each set of identification parameters identifying respective random ECG data and a respective random activation map that is indicative of a respective time propagation of a random action potential wavefront in the heart of the patient; generating, based on each set of identification parameters, said respective random ECG data; comparing the random ECG data and the measured ECG data to determine if there is correspondence between them; and if there is correspondence between the random ECG data and the measured ECG data, generating the activation map based on the at least one random activation map determined based on the at least one set of identification parameters used to obtain the random ECG data in correspondence with the measured ECG data.

A computer-implemented method includes storing location data for at least one invasive electrode that is movable within a patient’s body. The method also includes storing electrophysiological measurement data representing the electrophysiological signals measured at the outer surface of a patient’s body by body surface electrodes and within the patient’s body by the at least one invasive electrode. The method also includes storing geometry data representing anatomy of the patient spatially, and locations of the respective body surface electrodes and the at least one invasive electrode in three-dimensional space. The geometry data for the at least one invasive electrode can vary based on movement of the at least one invasive electrode within the patient’s body. The method also includes reconstructing electrophysiological signals on a surface of interest within the patient’s body based on the electrophysiological measurement data and the geometry data.

A system includes a vagus nerve stimulation (VNS) device configured to deliver a vagus nerve stimulation signal having an ON-period status and an OFF-period status, and a processor and a non-transitory computer readable memory. The memory stores instructions that, when executed by the processor, cause the system to synchronously record a first ECG profile of during the ON-period status and a second ECG profile during the OFF-period status, determine heart rate dynamics from the first and second ECG profiles, the heart rate dynamics including a plurality of R-R intervals in each ECG profile, generate display data configured to be displayed on a display, and transmit the display data to the display. The display data includes the R-R intervals for each of the first and second ECG profiles. The display data further includes a Poincaré plot.