Predictive Model for Paced Atrial Activation Time
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Solution Overview
Problem
Current techniques for predicting interatrial conduction delays in cardiac pacing therapies are limited in accurately determining atrioventricular delays, which can lead to premature left ventricular contraction and inefficiencies in blood circulation, particularly in heart failure patients.
Innovation Solution
An implantable device with control logic that uses a predictive model to determine paced atrial activation time based on intrinsic atrial activation time, allowing for the calculation of atrioventricular delay to avoid premature left ventricular contraction by employing a linear equation with parameters fitted through regression analysis, considering atrial rate information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current prediction techniques are used to determine atrioventricular delays, then device complexity is reduced, but measurement precision of interatrial conduction delays deteriorates
Solution Approach 1:
The patent transforms the complex non-linear relationship between intrinsic and paced atrial activation times into a simplified linear relationship by changing the parameter representation. The linear regression model uses transformed parameters (slope and intercept) that capture the essential predictive relationship without requiring complex computational resources, thus improving measurement precision while controlling device complexity.
Solution Approach 2:
The patent replaces complex mechanical measurement systems (direct measurement of paced atrial activation time) with a computational substitution approach. By using the linear regression model to calculate paced atrial activation time from intrinsic measurements, the system substitutes direct complex measurement with a simpler computational derivation, improving precision without proportionally increasing device complexity.
2Reliability
If accurate prediction of paced atrial activation time is achieved, then reliability of cardiac therapy improves, but device complexity increases
Solution Approach 1:
The patent improves reliability by changing the parameter representation from direct paced activation time measurement to a linear regression-based prediction using intrinsic activation time. The transformed parameters (slope m and intercept b) provide a reliable predictive relationship that can be implemented with controlled complexity in the control logic.
Solution Approach 2:
The patent creates a computational copy of the paced atrial activation time relationship through the linear regression model. Instead of directly measuring or complexly computing the paced activation time, the system creates a simplified mathematical copy (linear equation) that reproduces the essential predictive relationship, thereby improving reliability while limiting complexity growth.
3Loss of time
If intrinsic atrial activation time is used to predict paced activation time, then loss of time in measurement is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-determining the linear regression parameters (slope and intercept) through regression analysis of training data. This preliminary characterization of the relationship between intrinsic and paced activation times allows for rapid prediction without time-consuming direct measurements, reducing measurement time while maintaining precision through the pre-calibrated model.
Solution Approach 2:
The patent transforms the measurement approach by changing from direct time-consuming measurement of paced activation time to a rapid calculation using pre-determined linear parameters. The parameter transformation enables quick prediction based on easily measurable intrinsic activation time, reducing measurement time while preserving precision through the mathematically optimized linear relationship.
Data Source
AI summary
An exemplary device includes control logic to determine a paced atrial activation time using a predictive model and an intrinsic atrial activation time and to determine an atrioventricular delay based at least in part on the paced atrial activation time. Such a device may be an implantable device configured to deliver cardiac therapy that uses atrial pacing and ventricular pacing. Such a device may be a programmer configured to program an implantable device configured to deliver cardiac therapy that uses atrial pacing and ventricular pacing. Various other exemplary technologies are also disclosed.


