AVD Optimization Using Hemodynamic Second Derivatives
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Solution Overview
Problem
Current methods for optimizing atrioventricular delay (AVD) in implantable medical devices are cumbersome, requiring extensive echocardiographic assessments and multiple scans, making them time-consuming and costly, and existing automated techniques either require significant hardware resources or prolonged processing times.
Innovation Solution
A method utilizing a hemodynamic sensor to analyze sigmoid-type characteristics of atrioventricular delay, estimating an optimal AVD by evaluating second derivative values at discrete points, allowing for rapid and automated optimization without extensive scanning or high-power hardware requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If echocardiographic assessment is used to optimize AVD, then measurement precision is improved, but loss of time and device complexity increase
Solution Approach 1:
The patent replaces the mechanical echocardiographic assessment system with an automated electronic system using hemodynamic sensors and signal processing algorithms. The device uses intracardiac pressure sensors to detect ventricular filling waves and automatically computes optimal AVD through digital signal analysis, eliminating the need for external echocardiography equipment and reducing optimization time from minutes to seconds.
Solution Approach 2:
The patent enables the implantable device to autonomously optimize its own AVD parameter using built-in hemodynamic sensors and processing capabilities. The device automatically detects filling waves, analyzes the hemodynamic response to different AVD values, and self-adjusts the optimal delay without requiring external hospital equipment or specialist intervention, making the optimization process self-contained and immediate.
2Measurement precision
If multiple scans are performed to optimize AVD, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary assessment of hemodynamic response by analyzing the first few beats after parameter changes. The system uses the initial ventricular filling wave detections to quickly estimate the direction of optimal AVD adjustment, then makes immediate corrections without waiting for extended scanning periods. This preliminary action approach reduces the number of scans needed while maintaining optimization accuracy.
Solution Approach 2:
The patent accelerates the optimization process by skipping unnecessary intermediate scanning steps. Instead of performing multiple sequential scans with long intervals, the system rapidly sequences through AVD adjustments using continuous hemodynamic monitoring, rushing through the optimization process in a single integrated measurement cycle rather than multiple separate scans.
3Ease of operation
If automated optimization is implemented, then ease of operation is improved, but use of energy increases
Solution Approach 1:
The patent implements periodic optimization rather than continuous scanning. The automated system activates hemodynamic sensing and AVD adjustment only at predetermined intervals or when triggered by specific physiological conditions, allowing the device to enter low-power states between optimization cycles. This periodic operation maintains ease of use while significantly reducing average power consumption compared to continuous monitoring.
Solution Approach 2:
The patent applies partial automation by selecting only the most critical hemodynamic parameters for analysis rather than processing all available sensor data. The system focuses computational resources on detecting the primary ventricular filling wave and computing the dominant frequency component, performing sufficient but not excessive analysis to achieve optimization while conserving energy.
4Measurement precision
If extensive scanning is performed to optimize AVD, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential hemodynamic information needed for AVD optimization from the complex sensor data stream. The system selectively detects ventricular filling waves and computes the dominant frequency component, discarding extraneous signals and details. This extraction approach achieves precise optimization using minimal processing complexity and simple sensor requirements.
Solution Approach 2:
The patent optimizes AVD by monitoring changes in a single key parameter - the dominant frequency component of ventricular filling waves - rather than analyzing multiple complex parameters simultaneously. By focusing on this one critical parameter that directly reflects hemodynamic response to AVD changes, the system achieves accurate optimization with minimal computational complexity and simple hardware implementation.
Data Source
AI summary
A method for use by an active medical device includes using a stimulation device and an endocardial acceleration sensor to obtain a plurality of hemodynamic parameters associated with at least three atrioventricular delays. The method further includes using the plurality of hemodynamic parameters to find a second derivative associated with the atrioventricular delays. The method further includes using interpolation to estimate an atrioventricular delay which will reduce the second derivative associated with the atrioventricular delays. The method further includes using the estimated atrioventricular delay in a subsequent stimulation.