CRT Parameter Determination Using Cardiac Acceleration Inflection Points
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Solution Overview
Problem
Current cardiac resynchronization therapy (CRT) systems face challenges in determining optimal atrioventricular delay (AVD) intervals, particularly in patients with conditions like AV block or atrial fibrillation, leading to a significant number of non-responders due to inadequate hemodynamic response characterization.
Innovation Solution
The system determines CRT parameters by analyzing the inflection point of the response between cardiac electrical and acceleration information across various AVD intervals, using heart sound timing responses to select patient-specific AVD values, thereby improving cardiac activation synchrony and reducing the number of non-responders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional CRT systems use fixed or empirical AVD interval determination methods, then the device complexity is reduced, but the measurement precision of optimal AVD intervals deteriorates, leading to inadequate hemodynamic response characterization
Solution Approach 1:
The system performs preliminary characterization of the hemodynamic response by measuring cardiac acceleration at multiple AVD intervals before finalizing the optimal parameter selection. This preliminary data collection enables precise AVD determination without requiring complex real-time adjustments during therapy delivery.
Solution Approach 2:
The system uses feedback from cardiac acceleration measurements and heart sound timing responses to iteratively refine AVD interval determination. By comparing the hemodynamic response at different AVD intervals and identifying inflection points, the system achieves precise parameter selection through a feedback-driven optimization process.
2Measurement precision
If the system characterizes hemodynamic response across multiple AVD intervals using cardiac acceleration and heart sound timing, then the measurement precision of CRT parameters improves, but the processing requirements and data collection burden increase
Solution Approach 1:
The system merges multiple data sources including cardiac acceleration signals and heart sound timing information into a unified response characterization. By combining these signals and analyzing their combined inflection points, the system achieves high measurement precision while efficiently processing data through integrated analysis rather than separate evaluations.
Solution Approach 2:
The system extracts the critical inflection point information from the complex hemodynamic response data. By identifying and isolating the inflection point where the response curve changes direction, the system distills the essential information needed for optimal AVD selection from the broader dataset, reducing processing requirements while maintaining precision.
3Measurement precision
If the system uses inflection point analysis of the response curve to determine optimal AVD, then the measurement precision of patient-specific parameters improves, but the difficulty of detecting and measuring the response increases
Solution Approach 1:
The system uses the inflection point as an intermediary marker to indirectly identify the optimal AVD interval. Rather than directly measuring optimal synchrony, the system detects the inflection point in the response curve which serves as a reliable proxy indicator for the optimal parameter setting, simplifying the measurement process while maintaining precision.
Solution Approach 2:
The system detects changes in the characteristics of the response curve, analogous to detecting color changes, to identify the inflection point. By monitoring changes in the slope, amplitude, or timing characteristics of the cardiac acceleration response, the system reliably identifies the inflection point that corresponds to optimal AVD without requiring complex direct measurement.
Data Source
AI summary
This document discusses, among other things, systems and methods to determine a response between received cardiac electrical information from a subject, such as a time of a P wave, and received cardiac acceleration information of the subject, such as a time of a first heart sound (S1) or a second heart sound (S2), across a set of stimulation signals provided to the subject at different AVD intervals, and determining one or more cardiac resynchronization therapy (CRT) parameters using an inflection point of the determined response.