In an example, an n-dimensional method of fundamental solution (MFS) is used to compute reconstructed electrical activity on a cardiac envelope based on geometry data and electrical data, where n is a positive integer greater than three. The electrical data represents electrical activity measured non-invasively from a plurality of locations distributed on a body surface of a patient, and the geometry data represents three-dimensional body surface geometry for the locations distributed on the body surface where the electrical activity is measured and three-dimensional heart geometry for the cardiac envelope.

Various embodiments include methods and computing systems for arrhythmia localization and display. A computing system may include generating a patient-specific three-dimensional (3D) heart model including a 3D internal surface model, such as based on medical image data, generating a patient-specific electrical conduction model of a patient's heart of an arrhythmia based on the patient-specific 3D heart model and electrocardiogram (ECG) data. The patient-specific electrical conduction model of the patient's heart may identify a localization of an initiation site of the arrhythmia The computing system may merge the 3D localization of the initiation site of the arrhythmia and the 3D internal surface model to form an arrhythmia activation surface model, and generate a 3D model of the heart showing the wall thickness of the heart's myocardium simultaneously with the localization of an arrhythmia.

Various embodiments include methods and computing systems for arrhythmia localization and display. A computing system may select a 3D heart electrical conduction model, including a 3D surface model, from a database of representative 3D heart models based on patient demographic information. The computing system may generate a patient-specific 3D localization of an arrhythmia based on the selected 3D electrical conduction model and ECG data, and generate a patient-specific cardiac activation map based the 3D electrical conduction model and ECG data. The computing system may then merge the patient-specific 3D localization of the arrhythmia and the 3D surface model to generate a 3D arrhythmia activation surface model, and display the patient-specific 3D localization of the arrhythmia and the patient-specific cardiac activation map for use in a medical procedure. Patent demographic information may be used to create or adjust a 3D heart model for inclusion in the database.

Various embodiments include methods and computing systems for arrhythmia localization and display. A computing system may select a 3D heart electrical conduction model, including a 3D surface model, from a database of representative 3D heart models based on patient demographic information. The computing system may generate a patient-specific 3D localization of an arrhythmia based on the selected 3D electrical conduction model and ECG data, and generate a patient-specific cardiac activation map based the 3D electrical conduction model and ECG data. The computing system may then merge the patient-specific 3D localization of the arrhythmia and the 3D surface model to generate a 3D arrhythmia activation surface model, and display the patient-specific 3D localization of the arrhythmia and the patient-specific cardiac activation map for use in a medical procedure. Patent demographic information may be used to create or adjust a 3D heart model for inclusion in the database.

The present invention concerns a Medical system tor mapping of action potential data comprising an elongated medical mapping device (1) suitable for intravascular insertion having an electrode assembly (80) located at a distal portion (3) of the mapping device (1), a data processing and control unit (15) for processing data received from the mapping device (1), the data processing and control unit including a model generator for visualizing a 3-dimensional heart model based on one of electrical navigation system, MRI or CT scan data of a heart, a data output unit (16) for displaying both the 3-dimensional heart model and the processed data of the mapping device (1) simultaneously in a single visualization, wherein the model generator is configured to structure 3D scan data of the heart into 6 directions (a, b, c, d, e or 0 of a cube, each direction is associated with a separate Cartesian coordinate system with X.sup.(a, b, c, d, e or f), Y.sup.(a, b, c, d, e or f), Z.sup.(a, b, c, d, e or f) coordinates, wherein for assigning each 3D scan data point to one of the 6 directions (a, b, c, d, e or f) the following 6 true or false tests are applied: Formula (I), wherein max indicates the maximum leg length of the respective X, Y or Z axis and wherein mes indicates the measured value of a scanned data point, and wherein the data point is assigned to the direction (a, b, c, d, e or f) for which the test outcome is true.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect the locations of sources of cardiac rhythm disorders in a patient's heart, and then to generate an estimate or probability of the patient being free from atrial fibrillation. The various embodiments employ at least one computing device to process a plurality of electrogram surfaces through time to generate at least one electrographical flow (EGF) map, representation, pattern, or data set, and then process the at least one EGF map, representation, pattern, or data set to determine at least two of source activity levels, flow angle variability (FAV) levels, and active fractionation (AFR) levels corresponding thereto. On the basis of a combination of the determined at least two of source activity levels, FAV levels, and AFR levels, an electrographical volatility index (EVI) score or metric representative of the estimate or probability of the patient being free from AF is generated.

A method, including receiving sets of signals during multiple cardiac cycles, each set indicating, for a probe inserted into a cardiac chamber, a 3D location of a distal end of the probe, electrical potentials measured at the location, and respective times during a given cycle when the potentials were measured. The received measurements and the respective times are compared to a first template for a sinus rhythm cycle and a second template for a non-sinus rhythm cycle so as to identify a sequence of cycles including consecutive first, second, and third cycles wherein the first and second cycles match the first template and the third cycle matches the second template. A physical map is generated based on the locations. Based on the received locations and corresponding potentials, an electroanatomic map including the local activation times for the non-sinus rhythm cycle overlaid on the physical map is rendered to a display.

Two or more electrophysiology characteristics can be graphically represented in a single representation output, for example, by an electroanatomical mapping system. The system can generate or receive multiple electrophysiology maps, one for each of a corresponding number of electrophysiological characteristics. The system can also generate or receive a three-dimensional anatomical model, such as a cardiac surface model, that includes a focal point. The system can identify a display region about the focal point and transform the display region from a three-dimensional surface into a plane. One or more of the electrophysiology maps can be represented by varying the elevation of the plane, e.g., according to value(s) of the represented electrophysiological characteristic(s). One or more additional electrophysiology maps can be represented on the elevation-varied plane, e.g., in color scale, grey scale, or the like.

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 method for generating a propagation and velocity maps for cardiac wavefront propagation including cardiac arryhthmia, sinus rhythm, and paced rhythm. Activation time information is generated in the absence of any time alignment reference, wherein an estimated activation time is a weighted summation of potentially nonlinear and nonorthogonal candidate functions (CFs) selected from a bank of CFs. Time alignments between sequential recordings may be done by including binary level functions among selected CFs. Embodiments are applicable to single catheter mapping and sequential mapping, and are robust as confirmed by the ability to generate propagation maps and conduction velocity in the presence of multiple colliding wavefronts. The propagation and conduction velocity maps may be used for one or more of diagnosing cardiac arryhthmia, localizing cardiac arryhthmia, guiding catheter ablation therapy of cardiac arryhthmia, and guiding cardiac pacing therapy.