Abstract: A method can include storing a plurality of data sets including values computed for each of a plurality of points for a given spatial region of tissue, the values in each of the data sets characterizing electrical information for each respective point of the plurality of points for a different time interval. The method can also include combining the values computed for each of a plurality of points in a first interval, corresponding to a first map, with the values for computed for each of the respective plurality of points in another interval and to normalize the combined values relative to a common scale. The method can also include generating a composite map for the given spatial region based on the combined values that are normalized.

Abstract: A method can determine one or more origins of focal activation. The method can include computing phase for the electrical signals at a plurality of nodes distributed across a geometric surface based on the electrical data across time. The method can determine whether or not a given candidate node of the plurality of nodes is a focal point based on the analyzing the computed phase and magnitude of the given candidate node. A graphical map can be generated to visualize focal points detected on the geometric surface.

Abstract: Systems and methods are disclosed to determine one or more sensing zones on a body surface for electrocardiographic mapping of a region of interest associated with the heart. The sensing zone can be utilized to facilitate acquisition, processing and mapping of electrical activity for the corresponding region of interest. In other examples, an application-specific arrangement of electrodes can also be provided based on the sensing zone that is determined for the region of interest.

Abstract: Systems and methods can be used to determine activation information for points along a surface or selected region of interest. In one example, a computer-readable medium having computer-executable instructions for performing a method that includes computing a local activation vector based on relative timing among electrical signals corresponding to neighboring points of a plurality of points on a surface envelope. An activation time can be computed for each of the plurality of points as a function of corresponding local activation vectors.

Abstract: Systems and methods are disclosed to determine one or more sensing zones on a body surface for electrocardiographic mapping of a region of interest associated with the heart. The sensing zone can be utilized to facilitate acquisition, processing and mapping of electrical activity for the corresponding region of interest. In other examples, an application-specific arrangement of electrodes can also be provided based on the sensing zone that is determined for the region of interest.

Abstract: A computer-implemented method can include determining an amplitude for each of a plurality of input channels, corresponding to respective nodes. A measure of similarity can be computed between the input channel of each node and the input channel of its neighboring nodes. The method can also include comparing an amplitude for each node relative to other nodes to determine temporary bad channels. For each of the temporary bad channels, a measure of similarity can be computed between the input channel of each node and the input channel of its neighboring nodes. Channel integrity can then be identified based on the computed measures of similarity.

Abstract: Systems and methods are provided to detect and analyze arrhythmia drivers. In one example, a system can include a wave front analyzer programmed to compute wave front lines extending over a surface for each of the plurality of time samples based on phase information computed from electrical data at nodes distributed across the surface. A trajectory detector can be programmed to compute wave break points for each of the wave front lines and to determine a trajectory of at least one rotor core across the surface. A stability detector can be programmed to identify at least one stable rotor portion corresponding to subtrajectories of the determined trajectory.

Abstract: An example method includes storing invasive position data representing different positions of one or more sensors in a given coordinate system within a volume defined by an electromagnetic field and storing non-invasive position data representing different positions of a plurality of control points in the given coordinate system determined from a position of one or more sensors. The method also includes computing internal geometry data based on the invasive position data, the internal geometry data representing a three-dimensional anatomical surface within a patient's body. The method also includes computing electrode geometry data based on the non-invasive position data, the electrode geometry data representing a location of each of a plurality of electrodes on an outer surface of the patient's body. Electrical activity sensed by the plurality of electrodes can be reconstructed onto an anatomical envelope within the patient's body.

Abstract: A method can determine one or more origins of focal activation. The method can include computing phase for the electrical signals at a plurality of nodes distributed across a geometric surface based on the electrical data across time. The method can determine whether or not a given candidate node of the plurality of nodes is a focal point based on the analyzing the computed phase and magnitude of the given candidate node. A graphical map can be generated to visualize focal points detected on the geometric surface.

Abstract: A method (500) can comprise performing principal component analysis (PCA) on data corresponding to a subset of a plurality of signals and a selected template to generate a virtual lead and an optimized template (530). The method can also comprise calculating a cross correlation on the virtual lead and the optimized template to determine a strength of linear dependence between the virtual lead and the optimized template to determine regions of interest (ROIs) of the virtual lead (540). The method can further comprise detecting peak correlation coefficients in the virtual lead (550). The method can still further comprise comparing the amplitude of each of the ROIs of the virtual lead with the selected template to determine an error between the template and each ROI of the virtual lead (560). The method can yet further comprise averaging the ROIs to generate averaged data (570).

Abstract: A non-transitory computer-readable medium can have instructions executable by a processor. The instructions can include an electrogram reconstruction method to generate reconstructed electrogram signals for each of a multitude of points residing on or near a predetermined cardiac envelope based on geometry data and non-invasively measured body surface electrical signals. The instructions can include a phase calculator to compute phase signals for the multitude of points based on the reconstructed electrogram signals and a visualization engine to generate an output based on the computed phase signals.

Abstract: A computer-implemented method can include determining an amplitude for each of a plurality of input channels, corresponding to respective nodes. A measure of similarity can be computed between the input channel of each node and the input channel of its neighboring nodes. The method can also include comparing an amplitude for each node relative to other nodes to determine temporary bad channels. For each of the temporary bad channels, a measure of similarity can be computed between the input channel of each node and the input channel of its neighboring nodes. Channel integrity can then be identified based on the computed measures of similarity.

Abstract: A method can determine one or more origins of focal activation. The method can include computing phase for the electrical signals at a plurality of nodes distributed across a geometric surface based on the electrical data across time. The method can determine whether or not a given candidate node of the plurality of nodes is a focal point based on the analyzing the computed phase and magnitude of the given candidate node. A graphical map can be generated to visualize focal points detected on the geometric surface.

Abstract: A non-transitory computer-readable medium can have instructions executable by a processor. The instructions can include an electrogram reconstruction method to generate reconstructed electrogram signals for each of a multitude of points residing on or near a predetermined cardiac envelope based on geometry data and non-invasively measured body surface electrical signals. The instructions can include a phase calculator to compute phase signals for the multitude of points based on the reconstructed electrogram signals and a visualization engine to generate an output based on the computed phase signals.

Abstract: Systems and methods are provided to detect and analyze arrhythmia drivers. In one example, a system can include a wave front analyzer programmed to compute wave front lines extending over a surface for each of the plurality of time samples based on phase information computed from electrical data at nodes distributed across the surface. A trajectory detector can be programmed to compute wave break points for each of the wave front lines and to determine a trajectory of at least one rotor core across the surface. A stability detector can be programmed to identify at least one stable rotor portion corresponding to subtrajectories of the determined trajectory.

Abstract: Systems and methods can be used to determine activation information for points along a surface or selected region of interest. In one example, a computer-readable medium having computer-executable instructions for performing a method that includes computing a local activation vector based on relative timing among electrical signals corresponding to neighboring points of a plurality of points on a surface envelope. An activation time can be computed for each of the plurality of points as a function of corresponding local activation vectors.

Abstract: Systems and methods can be used to determine activation information for points along a surface or selected region of interest. In one example, a computer-readable medium having computer-executable instructions for performing a method that includes computing a local activation vector based on relative timing among electrical signals corresponding to neighboring points of a plurality of points on a surface envelope. An activation time can be computed for each of the plurality of points as a function of corresponding local activation vectors.

Abstract: Systems and methods can be used to determine activation information for points along a surface or selected region of interest. In one example, a computer-readable medium having computer-executable instructions for performing a method that includes computing a local activation vector based on relative timing among electrical signals corresponding to neighboring points of a plurality of points on a surface envelope. An activation time can be computed for each of the plurality of points as a function of corresponding local activation vectors.

Abstract: Systems and methods are provided to detect and analyze arrhythmia drivers. In one example, a system can include a wave front analyzer programmed to compute wave front lines extending over a surface for each of the plurality of time samples based on phase information computed from electrical data at nodes distributed across the surface. A trajectory detector can be programmed to compute wave break points for each of the wave front lines and to determine a trajectory of at least one rotor core across the surface. A stability detector can be programmed to identify at least one stable rotor portion corresponding to subtrajectories of the determined trajectory.

Abstract: A method can include storing a plurality of data sets including values computed for each of a plurality of points for a given spatial region of tissue, the values in each of the data sets characterizing electrical information for each respective point of the plurality of points for a different time interval. The method can also include combining the values computed for each of a plurality of points in a first interval, corresponding to a first map, with the values for computed for each of the respective plurality of points in another interval and to normalize the combined values relative to a common scale. The method can also include generating a composite map for the given spatial region based on the combined values that are normalized.