Biosense Webster (israel) Ltd.

Biosense Webster, Inc.

Aleksey Vladimirovich Shovkun

Natan Sharon Katz

Eliyahu Ravuna

Andrey Evgenyevich Kiryasov

Elena Igorevna Kuzhnareva

A method includes collecting a plurality of bipolar electrograms and respective unipolar electrograms of patients, the electrograms including annotations in which one or more human reviewers have identified and marked a window-of-interest and one or more activation times inside the window-of-interest. A ground truth data set is generated from the electrograms, for training at least one electrogram-preprocessing step of a Machine Learning (ML) algorithm. The ML algorithm is applied to the electrograms, to at least train the at least one electrogram-preprocessing step, so as to detect an occurrence of an activation in a given bipolar electrogram within the window-of-interest.

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Moscow, Russia

Aleksey Vladimirovich Shovkun