Cardiac Signal Activation Ordering for Rhythm Disorder Localization
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Solution Overview
Problem
Current methods for diagnosing and treating complex heart rhythm disorders, such as atrial fibrillation and ventricular fibrillation, are inadequate as they fail to accurately identify and locate the causes of these conditions, leading to suboptimal treatment outcomes and high complication rates.
Innovation Solution
A system and method that reconstructs cardiac information by receiving cardiac signals, classifying them into high and low confidence signals, determining activation onsets, and ordering them to indicate the source of the complex rhythm disorder, allowing for targeted energy application to modify the source of the disorder.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current diagnostic methods are used to identify heart rhythm disorder causes, then the diagnostic process is simple, but the measurement precision and localization accuracy are insufficient
Solution Approach 1:
The system segments cardiac signals into multiple channels, each processed independently to determine activation onsets. This segmentation allows precise localization of rhythm disorder sources by analyzing activation sequences across different spatial locations, resolving the contradiction between simple diagnostics and precise measurement.
Solution Approach 2:
The system transitions from analyzing single-point signals to multi-dimensional spatial-temporal signal analysis by ordering activation onsets across multiple channels. This dimensional expansion enables accurate 3D localization of rhythm disorder sources while maintaining systematic processing approaches.
2Reliability
If ablation procedures are performed without precise source identification, then treatment can be applied broadly, but the extent of tissue damage increases and treatment success rates decrease
Solution Approach 1:
The system performs preliminary identification and localization of rhythm disorder sources before ablation treatment. By determining activation onsets and ordering them to identify the earliest activating region, the system enables targeted ablation that eliminates the need for broad tissue destruction, thereby increasing treatment success while minimizing harm.
Solution Approach 2:
The system replaces mechanical trial-and-error ablation approaches with an information-based diagnostic system that uses signal processing and activation sequencing. This substitution allows precise identification of the causative region, enabling targeted energy application that reduces unnecessary tissue damage while improving treatment reliability.
3Measurement precision
If comprehensive cardiac signal analysis is performed to identify rhythm disorder sources, then diagnostic accuracy improves, but the time required for analysis increases
Solution Approach 1:
The system uses the cardiac signals themselves to identify their own source characteristics. By analyzing activation onsets inherent in the signal data and ordering them temporally, the system self-determines the rhythm disorder source without requiring external reference measurements or prolonged observation periods, thus achieving high accuracy efficiently.
Data Source
AI summary
A system for processing cardiac activation information associated with a complex rhythm disorder identifies a location of the heart rhythm disorder by determining activations within cardiac signals obtained at neighboring locations of the heart and arranging the activations to identify an activation trail. The activation trail may define a rotational pattern or radially emanating pattern corresponding to an approximate core of the heart rhythm disorder.