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.

A method includes receiving an electrophysiological (EP) map of a cardiac chamber, the EP map including data points comprising respective locations and EP values. The EP map is projected onto a sphere divided into a grid of unit areas. For at least some of the unit areas, a most likely data point is estimated that is representative of an EP activation in the unit area. The representative data points is inverse mapped onto the EP map. An updated EP map with the inverse mapped representative data points is presented to a user.

A method includes receiving an electrophysiological (EP) map of a cardiac chamber, the EP map including data points comprising respective locations and EP values. The EP map is projected onto a sphere divided into a grid of unit areas. For at least some of the unit areas, a most likely data point is estimated that is representative of an EP activation in the unit area. The representative data points is inverse mapped onto the EP map. An updated EP map with the inverse mapped representative data points is presented to a user.

A method, including receiving, from electrodes positioned within a heart, first signals from at least three of the electrodes indicating electrical activity in tissue with which the at least three of the electrodes engage, and second signals indicating locations of the at least three electrodes. The second signals are processed to compute the locations of the at least three electrodes and to determine a geometric center of the locations. Based on the signals, an electroanatomical map is generated for an area of the tissue including the geometric center, and an arrhythmia focus is determined in the map. A circle is presented, and within the circle, a region of the map is presented including the geometric center and the focus so that the geometric center on the map aligns with a center of the circle, the region within the circle indicating a spatial relationship between the geometric center and the focus.

A method, including receiving, from electrodes positioned within a heart, first signals from at least three of the electrodes indicating electrical activity in tissue with which the at least three of the electrodes engage, and second signals indicating locations of the at least three electrodes. The second signals are processed to compute the locations of the at least three electrodes and to determine a geometric center of the locations. Based on the signals, an electroanatomical map is generated for an area of the tissue including the geometric center, and an arrhythmia focus is determined in the map. A circle is presented, and within the circle, a region of the map is presented including the geometric center and the focus so that the geometric center on the map aligns with a center of the circle, the region within the circle indicating a spatial relationship between the geometric center and the focus.

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 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.

For non-invasive EP mapping, a sparse number of electrodes (e.g., 10 in a typical 12-lead ECG exam setting) are used to generate an EP map without requiring preoperative 3D image data (e.g. MR or CT). An imager (e.g., a depth camera) captures the surface of the patient and may be used to localize electrodes in any positioning on the patient. Two-dimensional (2D) x-rays, which are commonly available, and the surface of the patient are used to segment the heart of the patient. The EP map is then generated from the surface, heart segmentation, and measurements from the electrodes.

A method for determining optimal electrode number and positions for cardiac resynchronization therapy on a heart of a patient is described. The method comprises: generating a 3D mesh of at least part of the heart from a 3D model of at least part of the heart of the patient, the 3D mesh of at least a part of the heart comprising a plurality of nodes; aligning the 3D mesh of at least part of a heart to images of the heart of the patient; and placing additional nodes onto the 3D mesh corresponding to a location of at least two electrodes on the patient. The 3D mesh is used in determining the optimal electrode number and position on the heart of the patient.

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.