Automatic detection of cardiac structures in cardiac mapping

To provide methods, apparatuses, systems and models for automatically detecting a location of specific structures within a heart.SOLUTION: There are provided a system and a method for training a neural network to automatically detect a cardiac structure of an interest object including a processor co...

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Bibliographic Details
Main Authors Eliyahu Ravuna, Iddo Lev, Elad Nakar, Lior Botzer, Jonathan Yarnitsky
Format Patent
LanguageEnglish
Hebrew
Published 01.12.2021
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Summary:To provide methods, apparatuses, systems and models for automatically detecting a location of specific structures within a heart.SOLUTION: There are provided a system and a method for training a neural network to automatically detect a cardiac structure of an interest object including a processor comprising a neural network training model that receives training data. The training data comprises first input comprising first electrophysiological data regarding a first cardiac structure received by an electrode of a first catheter positioned within a heart, and second input comprising second data relating to the first cardiac structure. The neural network training model generates, as output, determination of whether the first cardiac structure is the cardiac structure of the interest object on the basis of the training data.SELECTED DRAWING: Figure 1
Bibliography:Application Number: IL20210283454