Abstract: A method includes receiving a bipolar signal sensed by a pair of electrodes at a location in a heart of a patient. One or more electrocardiogram (ECG) signals are received, sensed by body-surface electrodes attached to the patient. Two or more successive QRS complexes are identified in the bipolar signal. One or more activations are detected in the bipolar signal, which occur within a window-of-interest that begins at least a given time with respect to the identified QRS complexes. The detected activations are checked whether they are late potentials, by verifying whether (i) the activations do not coincide with a predefined event observed in the ECG signals, and (ii) the activations are repeatable in the successive QRS complexes. In response to deciding that at least one of the detected activations is a late potential, the latest of the at least one of the late potentials is visualized to a user.

Abstract: A method is provided. The method is implemented by an interpretation engine executed by processors coupled to a memory. The method includes receiving a bipolar intracardiac reference signal from reference electrodes of a catheter and executing a preprocessing of the bipolar intracardiac reference signal. The method further includes interpreting the bipolar intracardiac reference signal according to a threshold for contact by a reference electrode of the electrodes.

Abstract: A method is provided. The method is implemented by a device orientation engine being executed by one or more processors. The method includes determining a movement between each electrode group of a catheter to provide movements and determining a total movement of electrodes of the catheter. The method also includes removing a standard component from the movements and the total movement and outputting a movement indication for the catheter based on the movements and the total movement with the standard component.

Abstract: A method includes receiving a bipolar signal sensed by a pair of electrodes at a location in a heart of a patient. A unipolar signal is received, which is sensed by an electrode at the location in the heart. A derivative of the received bipolar signal is computed. A derivative of the received unipolar signal is computed. A ratio is evaluated, between the derivative of the bipolar signal and the derivative of the unipolar signal at local minima of the derivative of the unipolar signal. When the ratio is smaller than a preset threshold ratio value, an occurrence of ventricular activity is indicated.

Abstract: A method is described herein. The method is implemented by an optimization engine executed by a processor. The optimization engine receives data that includes performance metrics of mapping and ablation procedures. In turn, the optimization generates procedure expected outcomes for the mapping and ablation procedures based on the data and success predictions for a current ablation procedure utilizing the procedure expected outcomes. The optimization engine, also, outputs an ablation recommendation based on the success predictions.

Abstract: A method includes acquiring a bipolar signal from a first electrode and a second electrode contacting a first location and a second location, respectively, in a heart of a living subject. The method further includes acquiring a unipolar signal from the first electrode while in contact with the first location, and deriving from the bipolar signal and the unipolar signal a point in time at which the first location is generating the unipolar signal. The method also includes computing a metric for a conduction velocity of the unipolar signal at the first location based on a shape of the unipolar signal at the point in time.

Abstract: A method that is executed by a determination engine is provided. The method includes receiving one or more pairs of heart beats, generating a model based on the one or more pairs of heart beats, and determining whether two given heart beats are part of a same arrythmia to produce a similarity result for algorithmic input.

Abstract: A system that includes a memory and a processor is provided. The memory stores processor executable program instructions of a mapping engine. The processor executes the program instructions of the mapping engine to cause the system to receive information with respect to initiating a medical procedure for a patient. The information includes health demographics and biometric data of the patient. The processor executes the program instructions of the mapping engine to also cause the system to predict workflow preferences for users performing the medical procedure from the information by employing a model of the mapping engine and to generate, using the workflow preferences, image display options to the users for presentation by the system.

Abstract: Systems and methods are disclosed for generating a pace-mapping prediction model. Techniques are provided that utilize a training dataset associated with biometrics of patients' hearts, including electrophysiological data associated with cardiac arrhythmia, pace-mapping datasets, and correlation data measuring the degree of correlation between the pace-mapping datasets and the electrophysiological data. Based on the training dataset, the pace-mapping prediction model is trained to predict a degree of correlation between a patient's electrophysiological data and a pace-mapping dataset. Based on the predicted degree of correlation, a cardiac location in the heart of a patient is predicted as the location for the next pace-mapping. Further systems and methods are disclosed for generating a pacing maneuver prediction model. The pacing maneuver prediction model is trained to predict interval measurement based on a pacing maneuver obtained during cardiac pace-mapping.

Abstract: A method is provided. The method includes pacing, by electrodes of a catheter, a heart tissue with pulses. The method includes observing, by the electrodes, a period of electrophysiological repolarization for the heart tissue. The period of electrophysiological repolarization is caused by the pacing. The method also includes measuring, by the electrodes, an electrical signal within the heart tissue after the period of electrophysiological repolarization.

Abstract: A medical tool testing apparatus comprising a vessel. The vessel comprises a scaffold formed from biomaterial, live cardiac tissue, generated from cardiac cells, proliferating on the scaffold, the live cardiac tissue configured to generate electrical activity. The vessel also comprises a medical tool, in contact with live cardiac tissue, used for a medical procedure within patient anatomy. Operational features of the medical tool are determined by a visually perceptible condition of the live cardiac tissue.

Abstract: A method and apparatus of aiding a physician in locating an area to perform an ablation on patients with atrial fibrillation (AFIB) includes receiving data at a machine, from at least one device, the data including information relating to a desired location for performing an ablation, generating, by the machine, an optimal location for performing the ablation based upon the data and inputs, and providing an optimal set of ablation parameters for performing the ablation at the location output by the model, or at a location specified by the physician.

Abstract: A system and method for detecting a mapping annotation for an electrophysiological (EP) mapping system. The system includes a processor comprising a machine learning algorithm configured to receive a first heartbeat at an identified cardiac spatial location including a first set of attributes information corresponding to the first heartbeat; receive a second heartbeat at the identified cardiac spatial location including a second set of attributes information corresponding to the second heartbeat; compare the first set of attributes information with the second set of attributes information; and determine which of the first heartbeat and the second heartbeat has optimal characteristics based on the compared attribute information.

Abstract: A method is provided. The method is implemented by a detection engine embodied in processor executable code stored on a memory and executed by at least one processor. The method includes modeling a vector velocity field that measures and quantifies a velocity of electrocardiogram data signals that pass through a local activation time. The method further includes determining codes for each point in plane to provide a color code vector field image; detecting focal and rotor indications by using kernels to scan the color coded vector field image; and classifying the focal and rotor indications into perpetuators.

Abstract: A system and method for training a neural network to automatically detect a cardiac structure of interest including a processor comprising a neural network training model that receives training data. The training data comprises a first input comprising first electrophysiological data regarding a first cardiac structure received by an electrode of a first catheter positioned within a heart, and a second input comprising a second data relating to the first cardiac structure. The neural network training model generates, as an output, a determination of whether the first cardiac structure is the cardiac structure of interest based on the training data.

Abstract: A method, including receiving a bipolar signal from a pair of electrodes in proximity to a myocardium of a human subject, and receiving a unipolar signal from a selected one of the pair of electrodes. The method further includes delineating a window of interest (WOI) for the unipolar and bipolar signals, within the WOI computing local unipolar minimum derivatives of the unipolar signal, and times of occurrence of the local unipolar minimum derivatives, and within the WOI computing bipolar derivatives of the bipolar signal at the times of occurrence. The method also includes evaluating ratios of the bipolar derivatives to the local unipolar minimum derivatives, and when the ratios are greater than a preset threshold ratio value, assigning the times of occurrence as times of activation of the myocardium, counting a number of the times of activation; and classifying the unipolar signal according to the number.

Abstract: A method includes storing an anatomical map of at least a portion of a surface of a heart. Respective electrogram (EGM) signal amplitudes measured at respective positions on the surface of the heart are stored. Based on the on the EGM signal amplitudes, defined are: one or more first regions of the surface in which the EGM signal amplitudes are fractionated, and one or more second regions of the surface in which the EGM signal amplitudes are non-fractionated. A first surface representation is generated for the fractionated EGM signal amplitudes in the first regions. Propagation times are extracted from the non-fractionated EGM signal amplitudes in the second regions, and a second surface representation of the propagation times is derived. The first and second surface representations of the respective first and second regions of the surface are simultaneously presented, overlaid on the anatomical map.

Abstract: A method, including receiving a unipolar ECG signal from the location in the heart from a selected one electrode of a pair of electrodes, computing a local unipolar minimum derivative of the unipolar signal at a plurality of times of occurrences of the local unipolar minimum derivative, identifying candidate time of occurrences of the plurality of times of occurrences of the local unipolar minimum derivative as candidate annotations of the time of activation of the myocardium, extracting features for each of the candidate annotations, assigning a confidence level based on a feature value for each of the candidate annotations, eliminating candidate annotations that have a confidence level below a threshold and generating a local activation time map using the remaining candidate annotations.

Abstract: A method includes storing an anatomical map of at least a portion of a surface of a heart. Respective electrogram (EGM) signal amplitudes measured at respective positions on the surface of the heart are stored. Based on the on the EGM signal amplitudes, defined are: one or more first regions of the surface in which the EGM signal amplitudes are fractionated, and one or more second regions of the surface in which the EGM signal amplitudes are non-fractionated. A first surface representation is generated for the fractionated EGM signal amplitudes in the first regions. Propagation times are extracted from the non-fractionated EGM signal amplitudes in the second regions, and a second surface representation of the propagation times is derived. The first and second surface representations of the respective first and second regions of the surface are simultaneously presented, overlaid on the anatomical map.

Abstract: A probe having a temperature sensor on its distal portion is introduced into a fluid-filled body cavity of a subject, and an irrigating fluid passed through the probe. The temperature of the irrigating fluid exiting the probe differs from the temperature of the body cavity. Temperature readings of the irrigating fluid exiting the probe are recorded. A determination is made from the temperature readings that predetermined contact criteria between the probe and the interior wall of the body cavity are satisfied.