ARTIFICIAL INTELLIGENCE TRAINED WITH OPTICAL MAPPING TO IMPROVE DETECTION OF CARDIAC ARRHYTHMIA SOURCES

Disclosed are various embodiments of methods, components and systems configured to determine a location of a source of cardiac arrhythmia in a patient's heart. In some embodiments, to determine a source location, electrogram signals are acquired from a region of the patients' heart using a...

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Hauptverfasser: DYLOV, Dmitry Vladimirovich, IVANOVA, Ekaterina Alekseevna, FEDOROV, Vadim Valerievich, FEDOROV, Maxim Valerievich, ZOLOTAREV, Alexander Markovich, HANSEN, Brian
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:Disclosed are various embodiments of methods, components and systems configured to determine a location of a source of cardiac arrhythmia in a patient's heart. In some embodiments, to determine a source location, electrogram signals are acquired from a region of the patients' heart using a first set of electrodes; and then a pre-trained artificial intelligence (AI) model is applied to predict the location of the cardiac arrhythmia source by using the signals. Importantly, pre-training of the AI model comprises acquiring electrogram signals from explanted human hearts, the signals are generated by a second set of electrodes assembled into an electrode array that covers at least a part of the explanted human heart, and acquiring co-registered functional and/or structural imaging data in the part of the explanted human heart covered with the electrode array, wherein the functional and/or structural imaging data provide location of at least one source of cardiac arrhythmia.