System and method for analyzing noise in electrophysiology studies
Abstract:
A system for analyzing noise in one or more electrophysiology studies is provided. The system includes at least one processor and at least one memory device. The memory device stores an application that adapts the at least one processor to: identify, based at least in part on a machine learning model, one or more noise fingerprints within data derived at least in part from one or more study signals acquired from one or more patients during the one or more electrophysiology studies.
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