Abstract: A system for improving a cardiac ablation procedure includes a recommendation unit configured to provide an initial recommendation for at least one proposed ablation line for an ablation procedure on an anatomy of a patient. The system displays the at least one proposed ablation line on an anatomical map of the anatomy. The recommendation unit comprises a first and a second trained machine-learning model. Both the first and second trained machine-learning models have the same structure.

Abstract: A system and method of identifying focal sources is presented. The method can comprise detecting, via sensors, electro-cardiogram (ECG) signals over time, each ECG signal detected via one of the sensors having a location in a heart and indicating electrical activity of the heart, each signal comprising at least an R wave and an S wave; creating an R-S map comprising an R-to-S ratio for each of the ECG signals, the R-to-S ratio comprising a ratio of absolute magnitude of the R wave to absolute magnitude of the S wave; identifying, for each of the ECG signals, local activation times (LATs); and correlating the R-to-S ratios for the ECG signals on the R-S map and the identified LATs and using the correlation to identify the focal sources.

Abstract: In one embodiment, a medical system includes a catheter including electrodes, and configured to be inserted into a chamber of a heart and maneuvered among sampling sites to sample electrical activity, a display, and processing circuitry to receive signals provided by the catheter, and compute, for each sampling site, a sampling position of the catheter and respective electrode positions of the catheter electrodes, render to the display a 3D representation of the chamber including respective sampling-site markers indicating the computed sampling position of the catheter at respective ones of the sampling sites, receive a user input selecting one sampling-site marker, and update the 3D representation to include electrode markers indicating the respective electrode positions of the respective catheter electrodes while the catheter was sampling the electrical activity of the tissue at the sampling site corresponding to the selected sampling-site marker.

Abstract: In one embodiment, a medical system includes a catheter to be inserted into a chamber of a heart of a living subject, and including catheter electrodes to contact tissue at respective locations within the chamber of the heart, a display, and processing circuitry to receive signals from the catheter, and in response to the signals, sample respective voltage values of the signals at respective timing values, and render to the display respective intracardiac electrograms (IEGM) presentation strips representing electrical activity in the tissue that is sensed by the catheter electrodes at the respective locations, each of the IEGM presentation strips including a linear array of respective shapes associated with, and arranged in a temporal order of, respective ones of the timing values, fillers of the respective shapes being formatted responsively to respective ones of the sampled voltage values of a respective one of the signals sampled at respective ones of the timing values.

Abstract: Methods, apparatuses, systems, and programs are disclosed herein for automatically demarcating segments of an anatomical structure and include providing a processor having a memory, receiving and storing three-dimensional (3D) model data of an anatomical structure of a patient in the memory, generating positional information to orient 3D model data of the anatomical structure, identifying at least one segment of the 3D model data of the anatomical structure based on the positional information, demarcating the at least one identified segment of the 3D model data of the anatomical structure with an identification enhancer that visually distinguishes the at least one identified segment, and providing, for display, the 3D model data of the anatomical structure with the at least one demarcated segment.

Abstract: Systems and methods are disclosed for cardiac mapping. Techniques comprise extracting beat segments from biometric data obtained from a patient during an electrophysiology procedure and classifying the beat segments into clusters, each cluster represents an arrhythmia type. Maps are generated to visualize the biometric data. Each map is generated based on data associated with beat segments in one of the clusters.

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: A method and apparatus for implementing an evaluation engine implemented using a processor coupled to a memory. The evaluation engine receives effective points respective to cardiac tissue of a patient. The evaluation engine determines an anatomical structural classification for each of the effective points based on a structural segmentation for the cardiac tissue and provides the anatomical structural classification with the each of the plurality of effective points to support treatment of the 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 method is provided by an ablation contiguity engine executed by a processor. The method includes receiving at least wide area circumferential ablation points respective to tissue of an intra-body organ, estimating contiguity of the wide area circumferential ablation points with respect to locations to generate a contiguity estimation, and providing the contiguity estimation with the each of the wide area circumferential ablation points to support treatment of the tissue.

Abstract: A method is provided. The method includes receiving input intracardiac signals from a monitoring and processing apparatus. Each of the input intracardiac signals includes artifacts. The method includes encoding, by an autoencoder, the input intracardiac signals utilizing an intracardiac dataset to produce a latent representation. The method also includes decoding, by an autoencoder, the latent representation to produce output intracardiac signals. The output intracardiac signals include the input intracardiac signals reconstructed without the signal artifacts.

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 include a memory storing processor executable code for a denoised autoencoder, and one or more processors coupled to the memory to execute the processor executable code to receive raw signal data comprising signal noise, encode, by the denoised autoencoder, the raw signal data by performing a denoising autoencoder operation to produce a latent representation, and decode, by the denoised autoencoder, the latent representation to produce clean signal data reconstructed without the signal noise. A first filter is applied to a signal to emphasize activity within the signal and to produce a first modified signal, a rectifier and a second filter are applied to the first modified signal to smooth areas of the first modified signal with clinical importance and to produce a second modified signal, and high frequency energy zones of the second modified signal are automatically detected using an energy threshold to produce a weights vector.

Abstract: A system and method of identifying focal sources is presented. The method can comprise detecting, via sensors, electro-cardiogram (ECG) signals over time, each ECG signal detected via one of the sensors having a location in a heart and indicating electrical activity of the heart, each signal comprising at least an R wave and an S wave; creating an R-S map comprising an R-to-S ratio for each of the ECG signals, the R-to-S ratio comprising a ratio of absolute magnitude of the R wave to absolute magnitude of the S wave; identifying, for each of the ECG signals, local activation times (LATs); and correlating the R-to-S ratios for the ECG signals on the R-S map and the identified LATs and using the correlation to identify the focal sources.

Abstract: Methods, apparatuses, systems, and programs are disclosed herein for automatically demarcating segments of an anatomical structure and include providing a processor having a memory, receiving and storing three-dimensional (3D) model data of an anatomical structure of a patient in the memory, generating positional information to orient 3D model data of the anatomical structure, identifying at least one segment of the 3D model data of the anatomical structure based on the positional information, demarcating the at least one identified segment of the 3D model data of the anatomical structure with an identification enhancer that visually distinguishes the at least one identified segment, and providing, for display, the 3D model data of the anatomical structure with the at least one demarcated segment.

Abstract: A system and method of identifying focal sources is presented. The method can comprise detecting, via sensors, electro-cardiogram (ECG) signals over time, each ECG signal detected via one of the sensors having a location in a heart and indicating electrical activity of the heart, each signal comprising at least an R wave and an S wave; creating an R-S map comprising an R-to-S ratio for each of the ECG signals, the R-to-S ratio comprising a ratio of absolute magnitude of the R wave to absolute magnitude of the S wave; identifying, for each of the ECG signals, local activation times (LATs); and correlating the R-to-S ratios for the ECG signals on the R-S map and the identified LATs and using the correlation to identify the focal sources.

Abstract: In one embodiment, a medical system includes a catheter including electrodes, and configured to be inserted into a chamber of a heart and maneuvered among sampling sites to sample electrical activity, a display, and processing circuitry to receive signals provided by the catheter, and compute, for each sampling site, a sampling position of the catheter and respective electrode positions of the catheter electrodes, render to the display a 3D representation of the chamber including respective sampling-site markers indicating the computed sampling position of the catheter at respective ones of the sampling sites, receive a user input selecting one sampling-site marker, and update the 3D representation to include electrode markers indicating the respective electrode positions of the respective catheter electrodes while the catheter was sampling the electrical activity of the tissue at the sampling site corresponding to the selected sampling-site marker.

Abstract: In one embodiment, a medical system includes a catheter configured to be inserted into a chamber of a heart of a living subject, and including catheter electrodes configured to contact tissue at respective locations within the chamber of the heart, a display, and processing circuitry configured to receive signals from the catheter, and in response to the signals, sample voltage values of the signals at respective sampling times, compute respective curved three-dimensional surfaces describing electrical activity of the tissue over the catheter electrodes at respective ones of the sampling times, responsively to (a) respective positions of the respective catheter electrodes, and (b) the respective sampled voltage values indicative of electrical activity of the tissue that is sensed by the respective catheter electrodes at the respective locations at the respective sampling times, and render the respective three-dimensional surfaces to the display over time.

Abstract: In one embodiment, a medical system includes a catheter to be inserted into a chamber of a heart of a living subject, and including catheter electrodes to contact tissue at respective locations within the chamber of the heart, a display, and processing circuitry to receive signals from the catheter, and in response to the signals, sample respective voltage values of the signals at respective timing values, and render to the display respective intracardiac electrograms (IEGM) presentation strips representing electrical activity in the tissue that is sensed by the catheter electrodes at the respective locations, each of the IEGM presentation strips including a linear array of respective shapes associated with, and arranged in a temporal order of, respective ones of the timing values, fillers of the respective shapes being formatted responsively to respective ones of the sampled voltage values of a respective one of the signals sampled at respective ones of the timing values.

Abstract: A method of atrial rotational activity pattern (RAP) source detection is provided which includes detecting, via a plurality of sensors, electro-cardiogram (ECG) signals over time, each ECG signal detected via one of the plurality of sensors and indicating electrical activity of a heart. The method also includes determining, for each of the plurality of ECG signals, one or more local activation times (LATs) each indicating a time of activation of a corresponding ECG signal. The method further includes detecting whether one or more RAP source areas of activation in the heart is indicated based on the detected ECG signals and the one or more local LATs. Mapping information of the detected RAP source areas of activation in the heart is also generated for providing one or more maps.