Medical Display Processing System for Dynamic Electrical Signal Data Filtering
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Solution Overview
Problem
Conventional medical procedures for determining regions of interest for ablation in cardiac arrhythmia, such as atrial fibrillation, are time-consuming and rely heavily on expert medical personnel, often requiring hours of training, and struggle with efficiently retrieving and displaying filtered-out data points, leading to incomplete maps.
Innovation Solution
A method and system that filter and reuse electrical signal data using adjustable filter parameter settings, allowing for the retrieval and display of previously filtered data points, enhancing processing performance and providing more accurate and comprehensive maps by re-filtering data according to new parameter settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrical signal data is filtered according to strict filter parameter settings to display only relevant data points, then the clarity and relevance of displayed information is improved, but the completeness of the map is worsened due to loss of potentially important data points
Solution Approach 1:
The system dynamically adjusts filter parameter settings based on user interaction and contextual needs. When a user requests to view data in a specific region, the system temporarily modifies filter parameters to include previously excluded data points, allowing the map to transition between states of high clarity and high completeness as needed
Solution Approach 2:
Different filter parameter settings are applied to different regions of the map based on local requirements. The system allows global filter settings for overall clarity while enabling local overrides in specific regions of interest, where stricter or more permissive filtering can be applied selectively to maintain both clarity and completeness in different areas
2Loss of information
If all electrical signal data points are retrieved and displayed to ensure map completeness, then the completeness of the map is improved, but the processing time and computational resources are worsened
Solution Approach 1:
The system performs preliminary filtering of electrical signal data according to default parameter settings before display, pre-processing the data to identify and exclude obviously irrelevant points. This preliminary action reduces the volume of data requiring detailed processing while maintaining the ability to retrieve complete data when needed, thus reducing normal processing time without permanently losing completeness
Solution Approach 2:
The system changes filter parameter settings dynamically based on user requests and contextual factors. By adjusting parameters such as signal amplitude thresholds, frequency ranges, and spatial filtering criteria, the system can quickly switch between displaying a streamlined view and retrieving complete data, optimizing processing time for different operational states
3Measurement precision
If expert medical personnel manually assess maps to determine regions of interest for ablation, then the accuracy of region identification is improved, but the time required for procedure is worsened
Solution Approach 1:
The system incorporates feedback mechanisms where initial automated or preliminary expert assessments are used to identify potential regions of interest, which then trigger targeted retrieval and display of relevant electrical signal data. This feedback loop allows experts to focus their attention on specific areas of concern rather than manually assessing entire maps, improving both accuracy and efficiency
Solution Approach 2:
The medical procedure is segmented into distinct phases: initial rapid map generation with default filtering, identification of potential regions of interest, and detailed analysis of specific areas. By segmenting the workflow, the system allows experts to spend minimal time on routine assessment while concentrating their expertise on critical decision points, thereby improving overall procedure efficiency without sacrificing accuracy
Data Source
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AI summary
A medical display processing device and a method of reusing data includes acquiring, over time via electrodes, electrical signals each acquired via one of the electrodes and indicating electrical activity at a location of a portion of patient anatomy in a 3D space. Electrical signal data, corresponding to the electrical signals, is filtered according to first filter parameter settings and first mapping information is generated for displaying a map of the portion of patient anatomy and the filtered electrical signal data. An indication of a region of the portion of patient anatomy on the map is received and second mapping information is generated for displaying, at the region on the map, a portion of the electrical signal data previously filtered from display.