Biosense Webster (israel) Ltd.

Biosense Webster, Inc.

Yariv Avraham Amos

Roy Urman

Meir Bar-Tal

Gal Hayam

Ziyad Zeidan

Yaniv Ben Zrihem

Stanislav Goldberg

Richard P M Houben

Liron Shmuel Mizrahi

Matityahu Amit

Avi Shalgi

Richard P Houben

Atul Verma

Yaniv Ben Zirhem

Bar-Tal Meir

Roy Urban

Smhuel Auerbach

Houben Richard PM

Meir Bae-Tal

Guy David Malki

Richard PM Houben

Jonathan Yarnitsky

Shmuel Auerbach

Liat Tsoref

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.

Automatic frame selection for 3D model construction

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.

Region of interest focal source detection using comparisons of R-S wave magnitudes and LATs of RS complexes

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. The estimated location of the focal source is overlaid on an anatomical map of at least a portion of the heart. The system includes an interface and a processor configured to perform said method.

Automatic identification of a location of focal source in atrial fibrillation (AF)

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.

Region of interest rotational activity pattern detection

A method of atrial focal source detection is provided which includes detecting, via sensors, electro-cardiogram (ECG) signals over time. Each ECG signal is detected via one of the sensors and indicates electrical activity of a heart. The method also includes determining, for each ECG signal, local activation times (LATs) each indicating a time of one of a plurality of atrial activations of a corresponding ECG signal and detecting whether one or more focal source areas of activation in the heart is indicated based on the detected ECG signals and the one or more local LATs. S-waves can be distinguished from non-S-waves by generating models for each atrial activation and classifying atrial activations. Maps can be generated by visually indicating, for each sensor, a level of incidence of the atrial activations occurring before atrial activations of neighboring sensors within a period of time.

Region of interest focal source detection

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Tzorit, Israel

Yariv Avraham Amos