A method includes receiving or generating a volume map of at least a portion of a cavity of an organ of a body including a plurality of mapped locations, and a point cloud of locations in the cavity marked for treatment. The volume map is updated by removing a portion of the mapped locations, so that the locations marked for treatment fall on a surface of the volume map. Using the updated volume map, a map of at least a portion of the cavity is generated, the map including the locations marked for treatment. The map is displayed to user.

A computer-based visualization method includes: arranging, based on electrocardiogram data that indicates an electrocardiogram obtained by sensing from a patient in a predetermined period, a plurality of curves in time series in an axial direction perpendicular to a time axis and a potential axis of the electrocardiogram, each of the plurality of curves indicates a partial electrocardiogram corresponding to a respective beat from among the electrocardiogram indicated in the electrocardiogram data; generating a curved surface that includes the plurality of arranged curves; generating a plane that intersects the curved surface; and outputting a figure based on an intersection line between the curved surface and the plane.

A computer-based visualization method includes: arranging, based on electrocardiogram data that indicates an electrocardiogram obtained by sensing from a patient in a predetermined period, a plurality of curves in time series in an axial direction perpendicular to a time axis and a potential axis of the electrocardiogram, each of the plurality of curves indicates a partial electrocardiogram corresponding to a respective beat from among the electrocardiogram indicated in the electrocardiogram data; generating a curved surface that includes the plurality of arranged curves; generating a plane that intersects the curved surface; and outputting a figure based on an intersection line between the curved surface and the plane.

Systems, devices, and techniques are disclosed for automatically detecting arrhythmia locations. The systems, devices, and techniques include a plurality of body surface electrodes configured to sense electrocardiogram (ECG) data. The systems, devices, and techniques include a processor including a neural network configured to receive a plurality of historical ECG data and corresponding arrhythmia locations determined based on each of the plurality of historical ECG data, train a learning system based on the plurality of historical ECG data and corresponding arrhythmia locations, generate a model based on the learning system. New ECG data may be received from the plurality of body surface electrodes and the processor may provide a new arrhythmia location based on the new ECG data. Additionally, a new coherent mapping adjustment may be provided based on a model that is trained using historical coherent mapping adjustments.

Provided herein are systems for modeling a patients cardiac electrical activity data, including at least one diagnostic catheter for insertion into the heart of the patient and a processing unit. The at least one diagnostic catheter includes at least one recording element to record patient data over multiple cardiac cycles. The patient data includes biopotential data and localization data of the at least one recording element. The processing unit includes a clustering routine that: receives the recorded patient data; segments the recorded patient data by cardiac cycle to produce segmented patient data; groups the segments based on one or more characteristics of the segments to produce segmented data groups; and combines the segmented patient data within each segmented data group to produce one or more composite recordings. The systems create one or more models of cardiac electrical activity of the patient based on the one or more composite recordings.

An electroanatomical mapping system can map electrical activation of tissue, and in particular create a slow conduction map, using a plurality of electrophysiology data points, each including local activation timing information, by computing a slow conduction metric for each point using the local activation timing information. The slow conduction metric can be used to classify points as no conduction points, slow conduction points, and normal conduction points, and the results can be graphically expressed, including as an animated representation of an activation wavefront propagating along a three-dimensional anatomical surface model.

An electroanatomical mapping system can map electrical activation of tissue, and in particular create a slow conduction map, using a plurality of electrophysiology data points, each including local activation timing information, by computing a slow conduction metric for each point using the local activation timing information. The slow conduction metric can be used to classify points as no conduction points, slow conduction points, and normal conduction points, and the results can be graphically expressed, including as an animated representation of an activation wavefront propagating along a three-dimensional anatomical surface model.

A method includes, receiving, on a surface of an anatomical map of a patient organ having a first presentation, a selection of a first selected region, which is intended to have a second presentation, different from the first presentation. A perimeter of the first selected region, and at least an unselected area positioned within the first selected region, are identified. A second selected region is produced, the second selected region includes the first selected region and the unselected area. The anatomical map, having the second presentation applied to the second selected region, is displayed.

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 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.