EP Map Confidence Level Visualization for Cardiac Diagnostics

The patent applies local quality by assigning different confidence levels to different regions of the EP map based on local data density and quality metrics. Each location on the map is evaluated independently using criteria such as the number of contributing electrodes, signal-to-noise ratio, and anatomical plausibility, allowing high-confidence regions to be displayed with full reliability while low-confidence regions are marked or excluded, thus resolving the contradiction between comprehensive coverage and reliability.

The patent segments the large set of acquired EP data into multiple processing stages: initial data acquisition, quality filtering based on predefined criteria, confidence level calculation, and selective incorporation into the final map. This segmentation allows the system to process and evaluate each data point systematically using automated algorithms, reducing the perceived complexity while maximizing data utilization by incorporating only validated measurements.

The patent implements confidence level visualization through color-coded overlays on the EP map, where different colors or shades represent different confidence thresholds. This allows practitioners to quickly assess data reliability across the map without being overwhelmed by numerical details, as the color encoding provides an intuitive visual summary that maintains diagnostic reliability while minimizing visual complexity.