AUTOMATIC DETECTION OF CARDIAC STRUCTURES IN CARDIAC MAPPING

A system for training a neural network to automatically detect a cardiac structure of interest includes a processor comprising a neural network training model that receives training data. The training data comprises a first input comprising first electrophysiological data regarding a first cardiac s...

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Bibliographic Details
Main Authors Lev, Iddo, Botzer, Lior, Yarnitsk, Jonathan, Nakar, Elad, Ravuna, Eliyahu
Format Patent
LanguageEnglish
French
German
Published 08.12.2021
Subjects
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
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Summary:A system for training a neural network to automatically detect a cardiac structure of interest includes a processor comprising a neural network training model that receives training data. The training data comprises a first input comprising first electrophysiological data regarding a first cardiac structure received by an electrode of a first catheter positioned within a heart, and a second input comprising a second data relating to the first cardiac structure. The neural network training model generates, as an output, a determination of whether the first cardiac structure is the cardiac structure of interest based on the training data.
Bibliography:Application Number: EP20210175853