Implantable Cardiac Stimulator Pacing Optimization
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Solution Overview
Problem
Current implantable medical devices for cardiac resynchronization therapy (CRT) often use fixed or heart-rate-dependent pacing intervals, which are not tailored to individual patients' varying hemodynamic states, leading to suboptimal cardiac function due to patient heterogeneity and changing cardiac conditions throughout the day.
Innovation Solution
The implementation of a multi-channel implantable medical device capable of monitoring hemodynamic parameters and optimizing atrial-ventricular (AV) and ventricular-ventricular (VV) pacing intervals in real-time to maximize cardiac function by varying these intervals based on individual patient conditions, using sensors and algorithms to determine the optimal combination of pacing intervals that produce the best cardiac output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed or heart-rate-dependent pacing intervals are used, then device complexity is reduced and ease of operation is improved, but cardiac function optimization deteriorates due to patient heterogeneity
Solution Approach 1:
The patent implements dynamic pacing intervals that automatically adjust based on real-time sensor data reflecting patient hemodynamic states. The system transitions from static, fixed intervals to dynamic, adaptive intervals that change continuously to match varying cardiac conditions throughout the day, resolving the contradiction between operational simplicity and individualized optimization.
Solution Approach 2:
The device performs self-optimization of pacing intervals using embedded sensors and algorithms that automatically analyze hemodynamic parameters and adjust pacing settings without requiring external intervention. This self-service capability enables personalized optimization while maintaining ease of operation, as the device autonomously adapts to each patient's unique physiological state.
2Reliability
If personalized and dynamic pacing intervals are implemented, then cardiac function optimization is improved, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional integrated system where a single device performs multiple functions: sensing hemodynamic parameters, processing sensor data, analyzing cardiac function, and adjusting pacing intervals. This universal approach consolidates what would otherwise require multiple separate components, achieving personalized optimization without proportionally increasing overall device complexity.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring hemodynamic parameters through sensors, comparing actual cardiac function against optimal targets, and automatically adjusting pacing intervals in response. This feedback mechanism enables reliable cardiac function optimization through a systematic, algorithm-driven process that manages complexity through structured control logic.
3Measurement precision
If sensor data processing and real-time optimization algorithms are added, then pacing interval precision is improved, but use of energy increases
Solution Approach 1:
The patent applies partial optimization by focusing computational resources on the most critical hemodynamic parameters and pacing interval adjustments that yield the greatest cardiac function improvement. Rather than continuously processing all possible variables at maximum precision, the system strategically applies optimization algorithms only when and where they provide the most benefit, reducing overall energy consumption while maintaining adequate precision.
Data Source
AI summary
A method, apparatus, or system to identify optimal parameters for programming a cardiac stimulator by a matrix-based decision algorithm using sensor data representing cardiovascular function. The parameters include pacing intervals optimized concurrently to produce the maximum resulting cardiac function.