Multi-site Cardiac Pacing Optimization for Hemodynamic Benefit and Longevity
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Solution Overview
Problem
Current implantable cardiac stimulation devices equipped with multi-pole LV leads face challenges in optimizing multi-site left ventricular pacing and sensing configurations to balance hemodynamic benefit and device longevity, requiring efficient methods to determine optimal pacing and sensing parameters.
Innovation Solution
The implementation of the 'QuickStim' and 'QuickSense' methods, which assess and optimize stimulation control parameters and sensing configurations by evaluating hemodynamic benefit and device longevity, allowing for the selection of optimal pacing and sensing settings that balance cardiac performance and battery life, and reduce the number of permutations to be tested through iterative adjustments and exclusion of unacceptable sites and configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If more stimulation pulses are used to increase hemodynamic benefit, then cardiac performance is improved, but battery power is consumed faster and device longevity is reduced
Solution Approach 1:
The system systematically varies stimulation control parameters including pulse amplitude, pulse width, inter-pulse intervals, and electrode combinations to identify configurations that achieve adequate hemodynamic benefit with minimal energy consumption. This parametric optimization allows finding the sweet spot between therapeutic effectiveness and battery conservation.
Solution Approach 2:
The device dynamically adjusts stimulation parameters in real-time based on sensed physiological feedback and performance metrics. The system can modify pulse characteristics and electrode selection on-the-fly to maintain optimal hemodynamic benefit while adapting to changing energy availability and physiological conditions.
2Reliability
If multiple pacing configurations are tested to find optimal settings, then hemodynamic benefit is maximized, but the time and complexity of optimization increases
Solution Approach 1:
The system performs preliminary assessment of available electrode configurations and pre-calculates promising pacing combinations before actual optimization testing. By pre-screening configurations based on anatomical and electrical characteristics, the system reduces the number of iterative tests needed to find optimal settings, thereby reducing optimization time.
Solution Approach 2:
The system continuously monitors hemodynamic response to each tested configuration and uses this feedback to guide subsequent testing priorities. Configurations showing poor initial performance are quickly discarded, while promising configurations receive more detailed evaluation, creating an efficient adaptive search process that minimizes total optimization time.
Data Source
AI summary
Techniques are provided for use with an implantable cardiac stimulation device equipped for multi-site left ventricular (MSLV) pacing using a multi-pole LV lead. In one example, referred to herein as QuickStim, cardiac pacing configurations are optimized based on an assessment of hemodynamic benefit and device longevity. In another example, referred to herein as QuickSense, cardiac sensing configurations are optimized based on sensing profiles input by a clinician. Various virtual sensing channels are also described that provide for the multiplexing or gating of sensed signals. Anisotropic oversampling is also described.