Biosense Webster (Israel) Ltd.

Biosense Webster, Inc.

Stanislav Goldberg

Meir Bar-Tal

Roy Urman

Yaniv Ben Zrihem

Gal Hayam

Shmuel Auerbach

Richard P M Houben

Lior Botzer

Eliyahu Ravuna

Elad Nakar

Ziyad Zeidan

Shiran Eliyahu

Matityahu Amit

Oded Baron

Jonathan Yarnitsky

Yariv Avraham Amos

Atul Verma

Richard P Houben

Iris Segal

Guy David Malki

Liat Tsoref

Richard PM Houben

Meir Bae-Tal

Houben Richard PM

Smhuel Auerbach

Roy Urban

Bar-Tal Meir

Yaniv Ben Zirhem

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.

3D intracardiac activity presentation

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

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.

3D electrical activity representation

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.

Intracardiac electrocardiogram presentation

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.

Automatic demarcation of anatomical structures

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

A system and method of determining regions of interest for heart ablation using fractionation. The method can comprise detecting, via sensors, electro-cardiogram (ECG) signals, each ECG signal detected via one of the sensors and indicating electrical activity of a heart, determining, for each of the ECG signals, activation times (LATs) each indicating a time of activation of a corresponding ECG signal, generating, based on the determined LATs of each of the ECG signals, one or more driver maps and one or more perpetuator maps, each representing the electrical activity of the heart, deriving parameters from the driver and perpetuator maps, using at least fractionation, processing and combining the derived parameters into driver evidence and perpetuator evidence, and determining the regions of interest for heart ablation in accordance with the fractionation used to derive the driver evidence and the perpetuator evidence.

Identification of fractionated signals

Growing community of inventors

Haifa, Israel

Stanislav Goldberg