Cardiac Mapping System Rhythm Adaptation
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Solution Overview
Problem
Current cardiac mapping systems face challenges in quickly adapting to changes in cardiac rhythms, leading to lost data and frustration due to the time-consuming process of reconfiguring mapping configurations when a new rhythm is detected.
Innovation Solution
An automated system with an electronic processor that executes an automated set-up routine to process heart signals, applying beat detection and acceptance criteria to determine the best matching mapping configuration, allowing for rapid configuration updates and data integration into existing or new maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the mapping system is reconfigured to capture a new cardiac rhythm type, then the system can accurately map the new rhythm, but the reconfiguration process takes 10 seconds to more than a minute causing lost data and frustration
Solution Approach 1:
The system pre-loads multiple mapping configurations into memory before they are needed. When a rhythm change is detected, the system can immediately switch to a pre-loaded configuration without requiring time-consuming reconfiguration. This preliminary preparation eliminates the 10-second to 1-minute delay that previously occurred during rhythm transitions.
Solution Approach 2:
The system dynamically selects and switches between multiple pre-loaded mapping configurations based on the detected cardiac rhythm type. Instead of a static single configuration, the system maintains a library of configurations and automatically adapts by selecting the appropriate one for the current rhythm, enabling rapid adaptation without manual reconfiguration.
2Adaptability or versatility
If the mapping system captures multiple different types of cardiac rhythms, then comprehensive data is collected, but the system must frequently reconfigure which increases complexity and time loss
Solution Approach 1:
The system implements a universal mapping configuration manager that handles multiple rhythm types through a single integrated interface. Instead of requiring separate manual configuration processes for each rhythm type, the system provides a unified mechanism that automatically manages multiple pre-loaded configurations, reducing operational complexity while maintaining versatility across different cardiac rhythms.
Solution Approach 2:
The system automatically detects rhythm changes and self-selects the appropriate pre-loaded mapping configuration without requiring user intervention. This self-service capability eliminates the manual complexity of determining which configuration to use and programmatically switching between them, allowing the system to autonomously adapt to different rhythm types.
3Reliability
If manual reconfiguration is performed to match existing cardiac mapping configurations, then data integrity is maintained, but the process is difficult and time consuming
Solution Approach 1:
The system automatically compares detected rhythm characteristics with stored rhythm templates and self-determines the best matching pre-loaded configuration. This eliminates the difficult manual process of determining configuration compatibility while maintaining data integrity through automated validation against established rhythm patterns.
Solution Approach 2:
The system provides real-time feedback by comparing incoming rhythm signals with stored templates and automatically adjusting configuration selection based on the degree of match. This feedback mechanism ensures data integrity by selecting configurations that closely match the actual rhythm while simplifying operation through automated decision-making.
Data Source
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AI summary
A system for providing information about a patient's heart includes one or more electrodes that receive signals from electrical activity of the heart over one or more heart beat cycles. The system is characterized by an electronic processor coupled to the one or more electrodes to: receive the signals from the one or more electrodes; execute an automated set-up routine that processes the signals to automatically provide at least some set-up results for new mapping configurations; and/or process the signals with beat detection and beat acceptance criteria for new or existing mapping configurations to provide information about how well the signals match one or more of the new or existing mapping configurations.