Abstract: In some embodiments, there are provided systems, devices, components, and corresponding methods configured to permit navigation and/or positioning of an intra-cardiac electrophysiological (EP) mapping basket or other EP mapping structure of an EP mapping catheter inside or near an atrium or other heart chamber of a patient's heart using biosignals or intra-cardiac signals. In one embodiment, QRS complexes are extracted or isolated from intra-cardiac signals sensed by electrodes mounted on the EP mapping basket. Using the QRS complexes and a statistical shape or other model of the EP mapping basket or other type of EP mapping structure, one or more computing devices then determine the locations of the electrodes inside or near the patient's atrium that are associated with each isolated or extracted QRS complex, and thereby permit accurate navigation within the heart and/or processing of data acquired using the EP mapping basket or other EP mapping structure.

Abstract: In some embodiments, there are provided systems, devices, components, and corresponding methods configured to permit navigation and or positioning of an intra-cardiac electrophysiological (EP) mapping basket of an EP mapping catheter inside or near an atrium or other heart chamber of a patient's heart using biosignals or intra-cardiac signals. In one embodiment, QRS complexes are extracted or isolated from intra-cardiac signals sensed by electrodes mounted on the EP mapping basket. Using the QRS complexes, one or more computing devices then determine the locations of the electrodes inside or near the patient's atrium that are associated with each isolated or extracted QRS complex. The one or more computing devices can also be used to determine changes in the three-dimensional locations and orientations of the basket and the electrodes thereof as the basket is moved around, in, or near the patient's atrium, heart chamber, or other portion of the patient's heart.

Abstract: 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.

Abstract: Electrographic flow mapping (EGF mapping) is a technique used for aiding catheter ablation when treating atrial fibrillation. Visualizing EGF fields during a cardiac catherization and ablation procedure is an important and necessary part of conducting the procedure. Several different visualization methods are described and disclosed herein that may be employed to visualize EGF fields and maps, including quiver plots, streamline plots, particle plots, particle trail plots, moving particle plots, and moving and fading particle plots.