Cardiac Mapping System with Dynamic Threshold Algorithm
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Solution Overview
Problem
Current cardiac arrhythmia diagnosis and treatment systems face challenges in accurately mapping cardiac activity due to the use of a single threshold for cardiac signals, leading to missed or saturated activations, and insufficient sampling of atrial fibrillation patterns, which complicates the identification of therapy delivery regions and ablation efficacy.
Innovation Solution
A cardiac information dynamic display system that records electric potential data using electrodes and processes it with a signal processor to calculate cardiac activity data at multiple time intervals, displaying graphical representations of cardiac activity through a user interface, incorporating features like automated orientation, truncated SVD computation, non-functional electrode detection, and algorithms to reduce ventricular far field signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single threshold is used for cardiac signals across all locations and times, then the system operation is simplified, but activation detection precision deteriorates due to missed or saturated activations
Solution Approach 1:
The patent implements dynamic threshold adjustment where the threshold value changes over time and space based on local cardiac activation patterns. The system calculates time-varying thresholds for different cardiac locations rather than using a fixed single threshold, allowing the threshold to adapt to varying signal characteristics across different regions and time points in the cardiac cycle.
Solution Approach 2:
The patent applies different threshold values to different locations on the cardiac surface based on local signal characteristics. Each cardiac location receives a customized threshold determined by local activation patterns, ensuring optimal detection precision for each region rather than applying a uniform threshold across the entire heart surface.
2Measurement precision
If comprehensive sampling of atrial fibrillation patterns is performed, then diagnostic accuracy is improved, but data processing complexity and time increase
Solution Approach 1:
The patent extracts and focuses on key diagnostic features from the comprehensive atrial fibrillation data rather than processing all raw data points. The system identifies and extracts characteristic activation patterns, wavefront propagation features, and arrhythmia-specific metrics from the extensive sampled data, reducing processing complexity while maintaining diagnostic accuracy.
Solution Approach 2:
The patent performs preliminary organization and pre-processing of cardiac signal data before full analysis. The system prepares the data by initial filtering, segmentation, and feature identification in advance, which simplifies subsequent diagnostic processing of the comprehensive atrial fibrillation patterns.
3Measurement precision
If comprehensive sampling of atrial fibrillation patterns is performed, then diagnostic accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary organization and pre-processing of cardiac signal data before full analysis. The system prepares the data by initial filtering, segmentation, and feature identification in advance, which simplifies subsequent diagnostic processing of the comprehensive atrial fibrillation patterns.
Solution Approach 2:
The patent extracts and focuses on key diagnostic features from the comprehensive atrial fibrillation data rather than processing all raw data points. The system identifies and extracts characteristic activation patterns, wavefront propagation features, and arrhythmia-specific metrics from the extensive sampled data, reducing processing complexity while maintaining diagnostic accuracy.
4Quantity of substance
If ventricular far field signals are included in cardiac mapping, then comprehensive signal recording is achieved, but measurement precision deteriorates due to noise contamination
Solution Approach 1:
The patent converts the harmful ventricular far field signals into beneficial information by using them as reference data for noise identification and removal. The system utilizes the characteristics of ventricular signals to develop algorithms that distinguish and eliminate their contaminating effects from atrial activation measurements, thereby improving mapping precision while retaining comprehensive signal recording.
Solution Approach 2:
The patent introduces signal processing algorithms as intermediaries between the raw cardiac signals and the final mapping results. These algorithms act as mediators that filter out ventricular far field noise while preserving genuine atrial activation patterns, allowing comprehensive signal recording without precision degradation.
Data Source
AI summary
A cardiac information dynamic display system comprises: one or more electrodes configured to record sets of electric potential data representing cardiac activity at a plurality of time intervals; and a cardiac information console, comprising: a signal processor configured to: calculate sets of cardiac activity data at the plurality of time intervals using the recorded sets of electric potential data, wherein the cardiac activity data is associated with surface locations of one or more cardiac chambers; and a user interface module configured to display a series of images, each image comprising: a graphical representation of the cardiac activity. Methods of providing cardiac activity data are also provided.