| CPC A61B 34/10 (2016.02) [A61B 5/341 (2021.01); A61B 5/346 (2021.01); A61B 2018/00351 (2013.01); A61B 2018/00577 (2013.01); A61B 2034/104 (2016.02)] | 16 Claims |
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1. A system for visualization of vectorcardiograms for ablation procedures, the system comprising:
a processor; and
a memory communicatively connected to the processor, the memory containing instructions configuring the processor to:
receive an input matrix comprising a plurality of electrocardiogram signals associated with a plurality of time variables, wherein the plurality of electrocardiogram signals are generated using at least one sensor of a plurality of sensors connected to a patient during an ablation procedure;
transform the plurality of electrocardiogram signals into a cardiac vector as a function of the input matrix;
determine at least one ablative reaction as a function of the cardiac vector, wherein determining the at least one ablative reaction comprises generating a graphical visualization of an X-Y plot, wherein cardiac deviations are plotted along a vertical axis of the X-Y plot and time variables are plotted along a horizontal axis of the X-Y plot, wherein determining the at least one ablative reaction comprises:
generating a vectorcardiogram image as a function of the cardiac vector;
training, iteratively, a cardiographic machine learning model as a function of cardiographic training data and a user input, wherein:
the cardiographic training data comprises a plurality of vector cardiogram images correlated to a plurality of ablative reactions; and
the user input comprises a correction to one or more ablative reactions of the plurality of ablative reactions; and
determining the at least one ablative reaction as a function of the vectorcardiogram image using the trained cardiographic machine learning model; and
determine a new heart abnormality that occurred during the ablation procedure based on the at least one ablative reaction.
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