Cardiac Probe Electrode Mapping for Atrial Fibrillation Rotor Detection
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Solution Overview
Problem
Current methods for detecting and mapping cardiac activation during atrial fibrillation are time-consuming, require expert assessment, and are not suitable for independent use, as they struggle to identify and locate electrical rotors or focal sources that may be moving or have unstable activation.
Innovation Solution
The development of a cardiac monitoring system equipped with a probe and multiple electrodes that detect electrical potentials and analyze them to identify propagation directions of activation wavefronts, allowing for the generation of an output indicative of these directions and potentially locating sources of fibrillation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If isochronal mapping is used to map activation sequences, then mapping coverage is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system performs preliminary automated processing of electrogram data to pre-identify potential rotor locations and propagation patterns before final expert review, reducing the time required for comprehensive mapping while maintaining accuracy
Solution Approach 2:
The system creates simplified visual representations and automated maps of activation sequences that replicate the information from detailed electrogram analysis, allowing rapid overview without manual assessment of every electrogram
2Measurement precision
If expert assessment is required for each electrogram, then measurement accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs automated analysis of electrogram data to identify propagation directions and rotor locations without requiring manual expert assessment of each electrogram, enabling independent use by non-experts while maintaining identification accuracy
Solution Approach 2:
The system replaces manual expert assessment with automated computational algorithms that analyze electrogram patterns, substituting human mechanical evaluation with electronic signal processing and pattern recognition
3Device complexity
If traditional mapping methods are used, then device complexity is reduced, but ability to detect moving rotors deteriorates
Solution Approach 1:
The system dynamically updates propagation direction calculations in real-time as the catheter moves or as new electrogram data is acquired, allowing continuous tracking of moving rotors without requiring complex reconfiguration of the detection system
Solution Approach 2:
The system adds temporal dimension to rotor detection by analyzing propagation directions across multiple time points and update intervals, enabling detection of moving and unstable rotors through time-based pattern recognition rather than static spatial mapping
Data Source
AI summary
Apparatus for monitoring activation in a heart comprises a probe 101, a plurality of electrodes 102 supported on the probe and extending over a detection area of the probe, the detection area being arranged to contact a detection region of the heart. Each of the electrodes 102 is arranged to detect electrical potential at a respective position in the heart during movement of a series of activation wave fronts across the detection region. A processor is arranged to analyse the detected electrical potentials to identify a propagation direction of at least one of the wave fronts, and to generate an output indicative of that direction.