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 system (10) can localize an object in a patient's body. The system (10) can include a pulse generator (18 or 30) configured to provide a localization signal to at least one electrode that is fixed to the object in the patient's body. A sensor array (22) can be configured to detect an electrical field produced in response to the localization signal and provide respective sensor signals. A map generator (42) can be configured to reconstruct electrical signals based on the respective sensor signals and geometry data representing a geometric relationship between patient anatomy and the sensor array. A location calculator (50) can determine a location where the localization signal was applied based on the reconstructed electrical signals.

Abstract: A map generator can be programmed to generate a multi-parameter graphical map by encoding at least two different physiological parameters for a geometric surface, corresponding to tissue of a patient, using different color components of a multi-dimensional color model such that each of the different physiological parameters is encoded by at least one of the different color components.

Abstract: A method can include storing input electrical signal data representing at least a given electrophysiological signal acquired from a patient. A non-local mean filter can be applied to the given electrophysiological signal, the non-local mean filter including a spatial filter component and an intensity filter component. The method can also include controlling parameters to establish weighting of each of the spatial filter component and the intensity filter component in response to a control input. Filtered signal data can be stored based on the applying and the controlling.

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: A method to calculate and visualize dynamic wave front propagation of electrical signals on a geometric surface is described. Wave front locations are identified on the geometric surface between each identified pair of adjacent nodes on the geometric surface. A graphical map can be generated to represent the identified wave front locations on at least a portion of the geometric surface.

Abstract: A method can include providing (302) at least one parameter to control a therapy that is applied to at least one internal anatomical structure of a patient. Electrical data can be obtained from the patient (304), including electrical data acquired via a plurality of sensors during each of a plurality of iterations of the therapy. The electrical data can be analyzed (306) for a respective value of the at least one parameter of the therapy at each of the plurality of iterations of the applied therapy to compute an indication of at least one function of the at least one internal anatomical structure of the patient at each respective iteration of the applied therapy. The computed indication can be stored in memory (308). At least one parameter of the therapy can be adjusted (310) for delivery in a subsequent one of the plurality of iterations based on the indication of the at least one function.

Abstract: Systems and methods can be utilized to visualize physiological data relative to a surface region (e.g., an organ) of a patient. A computer-implemented method can include storing electroanatomic data in memory representing electrical activity for a predetermined surface region of the patient and providing an interactive graphical representation of the predetermined surface region of the patient. A user input is received to define location data corresponding to a user-selected location for at least one virtual electrode on the graphical representation of the predetermined surface region of the patient. A visual representation of physiological data for the predetermined surface region of the patient is generated based on the location data and the electroanatomic data.

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: Systems and methods can be used to provide an indication of heart function, such as an indication of mechanical function or hemodynamics of the heart, based on electrical data. For example, a method for assessing a function of the heart can include determining a time-based electrical characteristic for a plurality of points distributed across a spatial region of the heart. The plurality of points can be grouped into at least two subsets of points based on at least one of a spatial location for the plurality of points or the time-based electrical characteristics for the plurality of points. An indication of synchrony for the heart can be quantified based on relative analysis of the determined time-based electrical characteristic for each of the at least two subsets of points.

Abstract: A method for visualization of electrophysiology information can include storing electroanatomic data (14) in memory, the electroanatomic data representing electrical activity on a surface of an organ over a time period. An interval within the time period is selected in response to a user selection (28). Responsive to the user selection of the interval, a visual representation (26) of physiological information for the user selected interval is generated by applying at least one method to the electroanatomic data (14). The visual representation (26) is spatially represented on a graphical representation of a predetermined region of the surface of the organ.

Abstract: A method for visualization of electrophysiology information can include storing electroanatomic data (14) in memory, the electroanatomic data representing electrical activity on a surface of an organ over a time period. An interval within the time period is selected in response to a user selection (28). Responsive to the user selection of the interval, a visual representation (26) of physiological information for the user selected interval is generated by applying at least one method to the electroanatomic data (14). The visual representation (26) is spatially represented on a graphical representation of a predetermined region of the surface of the organ.

Abstract: Noninvasive systems and methods are provided for determining electrical activity for a heart of a living being. A processor is configured to meshlessly compute data that represents heart electrical activity from a set of noninvasively measured body surface electrical potentials. This is accomplished using data that describes a geometric relationship between a plurality of locations corresponding to where the body surface electrical potentials were measured and the heart.

Abstract: Noninvasive systems and methods are provided for determining electrical activity for a heart of a living being. A processor is configured to meshlessly compute data that represents heart electrical activity from a set of noninvasively measured body surface electrical potentials. This is accomplished using data that describes a geometric relationship between a plurality of locations corresponding to where the body surface electrical potentials were measured and the heart.

Abstract: Methods for determining a surface geometry of an object, including determining a first projection matrix based on a first imaging device, determining a second projection matrix based on a second imaging device, obtaining at least one first two-dimensional (2D) image of the object using the first imaging device, obtaining at least one second 2D image of the object using the second imaging device, determining a contour of the object in the first 2D image and the second 2D image, and, based on the at least two contours, the first projection matrix, and the second projection matrix, reconstructing 3D data associated with the surface of the object. In one embodiment, the object can be a heart.

Abstract: A method of sterilizing a hospital room to at least 99.99% sterility is described which employs UV/ozone sterilization. A method of sterilizing sink-traps using UV radiation is described. A method utilizing UV/ozone sterilization and sink-trap sterilization by UV radiation for sterilization of an environment is also described.

Abstract: Methods and systems for computing epicardial surface electric potentials based on measured body surface electric potentials, where the methods and systems include representing at least one geometric relationship between at least one body surface electric potential measuring system and the epicardial surface as a multidimensional matrix, estimating an inverse of the multidimensional matrix based on a Generalized Minimum Residual (GMRes) method, and, based on the inverse matrix and the measured body surface potentials, determining the epicardial surface electric potentials.

Abstract: Methods and systems for determining a surface geometry of an object, including determining a first projection matrix based on a first imaging device, determining a second projection matrix based on a second imaging device, obtaining at least one first two-dimensional (2D) image of the object using the first imaging device, obtaining at least one second 2D image of the object using the second imaging device, determining a contour of the object in the first 2D image and the second 2D image, and, based on the at least two contours, the first projection matrix, and the second projection matrix, reconstructing 3D data associated with the surface of the object. In one embodiment, the object can be a heart.