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 method includes collecting a plurality of bipolar electrograms and respective unipolar electrograms of patients, the electrograms including annotations in which one or more human reviewers have identified and marked a window-of-interest and one or more activation times inside the window-of-interest. A ground truth data set is generated from the electrograms, for training at least one electrogram-preprocessing step of a Machine Learning (ML) algorithm. The ML algorithm is applied to the electrograms, to at least train the at least one electrogram-preprocessing step, so as to detect an occurrence of an activation in a given bipolar electrogram within the window-of-interest.

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 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 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 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 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 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 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 catheter is disclosed comprising: a connector including a plurality of first contacts and one or more second contacts; a shaft including a plurality of electrodes, each electrode being coupled to a different one of the plurality of first contacts; a memory coupled to at least one of the second contacts, wherein the memory is configured to: store a pinout map identifying an order in which the plurality of electrodes is coupled to the plurality of first contacts; and provide the pinout map to an external device via one or more of the second contacts after the connector is coupled to the external device.

Abstract: A catheter is disclosed comprising: a connector including a plurality of first contacts and one or more second contacts; a shaft including a plurality of electrodes, each electrode being coupled to a different one of the plurality of first contacts; a memory coupled to at least one of the second contacts, wherein the memory is configured to: store a pinout map identifying an order in which the plurality of electrodes is coupled to the plurality of first contacts; and provide the pinout map to an external device via one or more of the second contacts after the connector is coupled to the external device.

Abstract: Methods, apparatus, and systems for medical procedures are disclosed herein and include detecting points of an intra-cardiac area that exhibits abnormal activations, such as local abnormal ventricular activations (LAVAs). Points that exhibit such abnormal activations may be referred to as seed points that are identified during a first step of the process disclosed herein. The seed points may be identified using one or more inputs such as unipolar and bipolar mapping channels, body surface ECGs, past activations, neighboring points and the like during the first step which prioritizes high specificity over sensitivity. During a second step which prioritizes high sensitivity, electrical activations of neighboring points near the seed points are analyzed to determine if the activations are similar (e.g., have a similar time) as the abnormal activations corresponding to the corresponding seed points.

Abstract: A method includes positioning an expandable balloon, coupled to a distal end of a catheter, at a target location within an organ of a patient, the expandable balloon including multiple electrodes and one or more sensors in proximity to each electrode, wherein the one or more sensors are configured each to measure a characteristic of blood. The expandable balloon is expanded at the target location. A fluid is flowed through an inner lumen of the catheter and into the blood in a vicinity of each electrode. A dependence of the characteristic of blood on time is measured, via the one or more sensors, in proximity to each electrode. Using a processor, it is determined whether or not each electrode is in physical contact with tissue, based on the measured dependence of the characteristic of blood. An indication of whether or not each electrode is in physical contact with tissue is outputted to a user.

Abstract: A catheter is disclosed comprising: a connector including a plurality of first contacts and one or more second contacts; a shaft including a plurality of electrodes, each electrode being coupled to a different one of the plurality of first contacts; a memory coupled to at least one of the second contacts, wherein the memory is configured to: store a pinout map identifying an order in which the plurality of electrodes is coupled to the plurality of first contacts; and provide the pinout map to an external device via one or more of the second contacts after the connector is coupled to the external device.

Abstract: A method includes receiving an anatomical map of at least a portion of a heart. Positions and respective bipolar intracardiac electrogram (EGM) signals measured at the positions are received for at least a region of the anatomical map. Primary activations and secondary activations are identified in the bipolar intracardiac EGM signals. A surface representation of the bipolar intracardiac EGM signals over the region is derived, including the identified primary activations and secondary activations. The surface representation is presented overlaid on the anatomical map.

Abstract: A system, device and method for left atrial appendage occlusion detection is disclosed. The system for occlusion detection comprises a sheath; a delivery system comprising: a delivery catheter extending between a proximal end and a distal end; and a handle coupled to the proximal end of the delivery catheter; a medical tool coupled to a distal end of the delivery catheter at a target location within a portion of an organ of a patient, the medical device comprising a hub including a bore defining an axis, an occluder portion coupled to the hub and an anchor portion extending between a first end and a second end; at least one pressure sensor configured to measure a pressure of the target cavity while blood is suctioned form inside the left atrial appendage; and at least one processor configured to process the pressure measurement acquired from the at least one pressure sensor.

Abstract: A method of occlusion detection is disclosed. The method comprises the steps of positioning a medical tool coupled to a distal portion of a distal end of a delivery catheter at a target cavity within a patient. The medical tool includes an expandable balloon, and at least one sensor. The expandable balloon is expanded when positioned at the target cavity. The expandable balloon includes a membrane formed of a plurality of irrigation pores. Fluid is introduced into the target cavity either by injection or through the pores, or both. Using a sensor, a characteristic of blood is detected with the target cavity. The characteristic of blood is processed to determine the presence or absence of an occlusion within the cavity.

Abstract: A method, including configuring, in a memory, a first buffer to store first buffer data, a second buffer to store second buffer data, and a variable indicative of a persisted size of real-time data persisted to a storage device. On the storage device, a file is configured to store the real-time data and a field is configured to store the variable. A stream of the real-time data is received, and the stream is appended to the first buffer data. Upon meeting a write criteria, the first buffer data in is swapped with the second buffer data, a buffer size of the second buffer data is added to the variable, and the second buffer data is conveyed from the second buffer to a write cache. Upon meeting a commit criteria, the stream stored in the write cache is appended to the file, and the variable is persisted to the field.

Abstract: A medical instrument includes a handle and a ring-shaped visual indicator. The ring-shaped visual indicator surrounds a perimeter of the handle and is configured to illuminate a visual indication in response to being driven by a driver-signal.