Abstract: A method includes obtaining, by a processor, a set of ultrasound frames showing a portion of a heart of a subject, identifying a subset of the frames, responsively to the subset having been acquired at one or more predefined phases of at least one physiological cycle of the subject, computing respective image-quality scores for at least the subset of the frames, each of the scores quantifying an image quality with which one or more anatomical portions of interest are shown in a respective one of the frames, and, based on the image-quality scores, selecting, for subsequent use, at least one frame from the subset of the frames. Other embodiments are also described.

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: An ablation procedure guidance method is provided herein. The ablation procedure guidance method is implemented by a generation engine executing on a processor. The ablation procedure guidance method includes receiving inputs including images and conduction velocity vector estimations and generating a digital twin of an anatomical structure utilizing the images and the conduction velocity vector estimations. The ablation procedure guidance method also includes presenting, via a user interface of the generation engine, the digital twin to provide precision ablation guidance of the anatomical structure and provide electrophysiology information of the anatomical structure.

Abstract: A method includes obtaining, by a processor, a set of ultrasound frames showing a portion of a heart of a subject, identifying a subset of the frames, responsively to the subset having been acquired at one or more predefined phases of at least one physiological cycle of the subject, computing respective image-quality scores for at least the subset of the frames, each of the scores quantifying an image quality with which one or more anatomical portions of interest are shown in a respective one of the frames, and, based on the image-quality scores, selecting, for subsequent use, at least one frame from the subset of the frames. Other embodiments are also described.

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 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 for automatically identifying a location of focal arrhythmogenic activity are provided. The method includes receiving, via a plurality of electrodes in a heart, a collection of acquisitions, each including a set of electrophysiological (EP) signals measured by the electrodes. A respective direction of arrival (DOA) and a respective distance relative to the electrodes from which the set of EP signals originated are estimated for each acquisition. The acquisitions are aggregated, to form a statistical distribution of the acquisitions as a function of estimated DOA and distance. Using a statistical test, it is checked whether the statistical distribution is consistent, in accordance with a predefined consistency criterion. If the statistical distribution is found consistent, an estimated location in the heart of a focal source of an arrhythmogenic activity that generated the received EP signals is derived from the statistical distribution.

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: 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: A system includes an interface and a processor. The interface is configured to receive data that characterizes an initial ablation operation applied to a region of a heart of a patient. The processor is configured to automatically specify, based on the received data, if found required, a complementary ablation operation to be applied to the region.

Abstract: A system includes an interface and a processor. The interface is configured to receive a plurality of electrophysiological (EP) measurements performed in a heart of a patient. The processor is configured to estimate a wall thickness at a specified location of the heart based on the EP measurements.

Abstract: A method includes receiving, via a plurality of electrodes in a heart, a collection of acquisitions, wherein each acquisition comprises a set of electrophysiological (EP) signals measured by the electrodes. A respective direction of arrival (DOA) and a respective distance relative to the electrodes from which the set of EP signals originated are estimated for at least some of the acquisitions. Based on the estimated DOA and distance, a timing error is estimated in at least an EP signal among the EP signals. A timing of the EP signal is adjusted to fit the estimated DOA and distance and correct the error. An EP map of at least a portion of the heart is generated using the set of EP signals, including the adjusted EP signal.

Abstract: A method includes receiving, via a plurality of electrodes in a heart, a collection of acquisitions, each including a set of electrophysiological (EP) signals measured by the electrodes. A respective direction of arrival (DOA) and a respective distance relative to the electrodes from which the set of EP signals originated are estimated for each acquisition. The acquisitions are aggregated, to form a statistical distribution of the acquisitions as a function of estimated DOA and distance. Using a statistical test, it is checked whether the statistical distribution is consistent, in accordance with a predefined consistency criterion. If the statistical distribution is found consistent, an estimated location in the heart of a focal source of an arrhythmogenic activity that generated the received EP signals is derived from the statistical distribution. The estimated location of the focal source is overlaid on an anatomical map of at least a portion of the heart.

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.