Aggregated Stability Map for Rotational Source Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for treating complex heart rhythm disorders, such as atrial fibrillation and ventricular fibrillation, face challenges in identifying and targeting the rotational sources of these conditions, leading to inefficient treatment due to the difficulty in aggregating and understanding the behavior of rotational activation patterns over multiple time intervals.
Innovation Solution
A system and method are developed to generate an aggregated stability map of rotational sources by accessing and processing rotational area profile maps across multiple time intervals, using filter levels to determine and present the highest rotation intensity values, allowing for a more comprehensive understanding and targeted treatment of heart rhythm disorders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If rotational activation patterns are examined over multiple time intervals to achieve complete presentation of rotational source, then understanding of rotational source behavior is improved, but time consumption and difficulty of aggregation increase
Solution Approach 1:
The patent combines multiple rotational area profile maps from different time intervals into a single aggregated stability map. This merging process integrates rotational information across multiple time points, providing complete presentation of rotational source behavior while eliminating the need for practitioners to manually examine each time interval separately, thus resolving the contradiction between information completeness and time consumption.
Solution Approach 2:
The aggregated stability map serves as an intermediary representation that synthesizes complex multi-temporal rotational data into a unified visual format. This intermediary map allows practitioners to understand rotational source stability without directly analyzing the underlying multiple time interval datasets, reducing both time consumption and aggregation difficulty while preserving essential rotational information.
2Measurement precision
If rotational area profile maps from multiple time intervals are aggregated to understand rotational source stability, then accuracy of rotational source identification is improved, but complexity of the system increases
Solution Approach 1:
The patent segments the analysis process into distinct components: individual rotational area profile maps for each time interval, and a separate aggregation step that combines these segments into the stability map. This segmentation allows the system to maintain high measurement precision through comprehensive multi-temporal analysis while managing complexity by organizing the aggregation process into discrete, manageable operations.
Solution Approach 2:
The aggregation process transforms multiple rotational area profile maps with varying temporal parameters into a unified stability map that emphasizes spatial stability characteristics. By changing the focus from temporal dynamics to spatial stability through parameter transformation, the system achieves accurate rotational source identification while simplifying the overall system complexity.
3Illumination intensity
If filter levels are applied to determine highest rotation intensity values in aggregated stability map, then clarity of rotational behavior presentation is improved, but information loss may occur
Solution Approach 1:
The filter level mechanism applies different intensity thresholds to different locations in the aggregated stability map based on local rotational characteristics. This local quality approach enhances clarity by emphasizing significant rotational features at each location while preserving the underlying intensity information, resolving the contradiction between presentation clarity and information retention.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Provided is a system and method of generating an aggregated stability map of one or more rotational sources associated with a heart rhythm disorder. In accordance therewith, a plurality of rotational area profile maps is accessed for a plurality of analysis intervals. Each of the rotational area profile maps includes rotation intensity values for a plurality of locations associated with rotation of the one or more rotational sources. Thereafter, an aggregated stability map is generated map based on the plurality of rotational area profile maps, wherein the aggregated stability map includes a plurality of locations. Each location includes a rotation intensity value based at least on a filter level of highest rotation intensity values for that location from corresponding locations of the plurality of rotational area profile maps.