Frequency Analysis Tool for Cardiac Resynchronization Therapy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cardiac resynchronization therapy (CRT) methods lack an effective strategy to identify likely responders or convert non-responders, often relying on subjective criteria for selecting ventricular pacing sites, leading to a high rate of treatment failures.
Innovation Solution
A system and method that utilize electrocardiogram (ECG) data to extract frequency components and calculate a fitness parameter, indicating the likelihood of CRT effectiveness by analyzing the QRS complex's frequency spectrum, aiding in the objective selection of optimal pacing sites during device implantation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective criteria are used for selecting ventricular pacing sites, then the selection process is simple, but the accuracy of identifying optimal pacing sites is low
Solution Approach 1:
The patent replaces subjective visual assessment with automated frequency domain analysis of ECG signals. A processor extracts frequency components from ECG leads and calculates fitness parameters objectively, substituting the mechanical/visual selection process with computational analysis to improve accuracy while maintaining ease of use through automated processing
Solution Approach 2:
The patent transforms the selection criteria from subjective anatomical assessment to quantitative frequency domain parameters. By analyzing frequency components of ECG signals and calculating fitness parameters, the system changes the basis of selection from qualitative to quantitative parameters, enabling more precise identification of optimal pacing sites
2Measurement precision
If frequency domain analysis is performed on ECG data, then the accuracy of predicting CRT effectiveness is improved, but the processing time and computational complexity increase
Solution Approach 1:
The patent applies partial action by selecting specific frequency bands and predictor values that are most relevant to CRT response prediction, rather than analyzing the entire frequency spectrum. This approach maintains high accuracy while reducing computational burden and processing time by focusing only on the most informative frequency components
Solution Approach 2:
The patent performs preliminary processing of ECG signals by extracting frequency components and calculating fitness parameters during device implantation procedures. This preliminary analysis is integrated into the existing clinical workflow, allowing predictions to be made without adding significant time to the overall treatment process
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for the objective selection of the most effective pacing site, potentially increasing the success rate of CRT by identifying patients likely to benefit and reducing the number of non-responders, thereby improving treatment outcomes.
Implementation Method 1
A frequency spectrum representing the ECG data is generated via a Fourier transform
Data Source
AI summary
Systems and methods are provided for evaluating an expected effectiveness of cardiac resynchronization therapy. Electrocardiogram (ECG) data is received as at least one ECG lead from a set of electrodes. A frequency spectrum representing the ECG data is generated via a Fourier transform. At least one predictor value is extracted from the calculated frequency spectrum. A fitness parameter, representing the expected effectiveness of cardiac resynchronization, is determined from at least the extracted predictor value.