Biosense Webster (israel) Ltd.

Amir Ben-Dor

Elad Nakar

Noam Seker Gafni

Aharon Turgeman

Lior Botzer

Liron Shmuel Mizrahi

Yoram Chmiel

Noga Salomon

Galia Givaty

A method including processing electrocardiograph (ECG) signals taken over a heartbeat received over a plurality of channels, selecting a subset of the ECG signals captured at a point in time with a window of interest (WOI) around reference annotations and having a morphology pattern within the WOI, storing the morphology patterns, receiving continuous sets of ECG signals taken over a plurality of heartbeats over the plurality of channels and having a morphology pattern within the WOI, performing a correlation between the stored morphology patterns of the ECH signals and the morphology patterns of the continuous sets of ECH signals for each heartbeat, generating a correlation coefficient that is a measure of a goodness of fit between geometries of the ECG signals and the continuous sets of ECG signals and identifying each heartbeat having a correlation coefficient that exceeds a threshold coefficient as having been caused by an arrhythmia.

Identifying ECG signals having the same morphology

A method includes acquiring a bipolar signal from a first electrode and a second electrode contacting a first location and a second location, respectively, in a heart of a living subject. The method further includes acquiring a unipolar signal from the first electrode while in contact with the first location, and deriving from the bipolar signal and the unipolar signal a point in time at which the first location is generating the unipolar signal. The method also includes computing a metric for a conduction velocity of the unipolar signal at the first location based on a shape of the unipolar signal at the point in time.

Tissue conduction velocity

Acquiring ECG signals from electrodes positioned in a heart taken over a single heartbeat, selecting a morphology pattern within a window of interest around time of occurrence annotations for the signals; computing a weighted cross-correlation between each morphology pattern of the signals and a stored template morphology pattern, to generate a weighted correlation coefficient of a match between the morphology patterns of the acquired signals and the stored morphology pattern; iteratively changing a phase of the signals relative to the phase of the morphology pattern and repeating the step of generating the weighted correlation coefficient at each iteration; determining a maximum value of the weighted correlation coefficient based on the iterations; comparing the maximum value to a threshold; and when the maximum value exceeds the threshold, accepting the heartbeat as having been caused by the arrhythmia and incorporating a location of the arrhythmia into a local activation map.

A method, including selecting an initial set of electrocardiograph (ECG) signals taken over a single heartbeat of a human subject, the set having respective morphologies to be used as a template for an arrhythmia of the subject, and receiving a subsequent set of ECG signals taken over a subsequent heartbeat of the human subject. The method also includes performing a cross-correlation between the initial set and the subsequent set, so as to generate a correlation coefficient that is a measure of a goodness of fit between geometries of the initial set and the subsequent set, and, when the correlation coefficient exceeds a threshold coefficient, accepting the subsequent heartbeat as having been caused by the arrhythmia.

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Kibbutz Hamapil, Israel

Amir Ben-Dor