Closed-loop CRT parameter optimization using EGM index
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Solution Overview
Problem
Current methods for optimizing cardiac resynchronization therapy (CRT) control parameters, such as AV and VV delays, are time-consuming, require expert technicians, and often involve additional costly sensors, lacking the ability for ongoing adjustments to maintain optimal ventricular synchrony.
Innovation Solution
An implantable medical device processor adjusts pacing therapy by establishing a relationship between an intracardiac electrogram (EGM)-based index and pacing control parameters, using surface ECG electrode signals to determine optimal and non-optimal settings, allowing for closed-loop optimization of CRT parameters without additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If clinical techniques using Doppler echocardiography or imaging modalities are used to optimize AV or VV delay, then optimal hemodynamic variable can be achieved, but the process is time-consuming and requires expert technician
Solution Approach 1:
The device performs self-optimization of CRT parameters using automated algorithms that analyze EGM signals and adjust pacing delays without requiring expert technician intervention. The processor automatically determines optimal AV and VV delays based on measured EGM-based indices, enabling the system to serve itself rather than requiring external expert optimization.
Solution Approach 2:
The patent replaces complex mechanical imaging systems (Doppler echocardiography, MRI) with electrical signal analysis using EGMs. Instead of using external imaging modalities to assess hemodynamic variables, the system uses intracardiac electrical signals to determine optimization metrics, substituting mechanical/optical measurement systems with electrical measurement and control systems.
2Adaptability or versatility
If additional hemodynamic sensors are added to enable closed loop optimization, then ongoing adjustment capability is achieved, but system cost increases
Solution Approach 1:
The patent makes existing EGM sensing capabilities perform multiple functions: not only detecting cardiac electrical events for pacing control but also serving as the primary sensor for closed-loop optimization of CRT parameters. The same EGM signals used for basic pacing function are repurposed to provide optimization metrics, eliminating the need for separate hemodynamic sensors and reducing device complexity.
Solution Approach 2:
The device uses its existing EGM sensing infrastructure to perform self-optimization without requiring additional dedicated sensors. The system leverages signals already being captured for pacing control to simultaneously determine optimal therapy parameters, enabling ongoing adaptation without increasing hardware complexity.
3Extent of automation
If ECG-based ventricular dyssynchrony index is used to establish optimal settings, then automated optimization is enabled, but EGM-based index relationship must be established through multiple settings
Solution Approach 1:
The system performs preliminary calibration by testing multiple control parameter settings and establishing the EGM-based index relationship before actual closed-loop operation begins. This preliminary characterization phase creates a lookup table or mathematical model that maps EGM index values to optimal pacing delays, enabling subsequent automated adjustments without requiring real-time complex calculations.
Solution Approach 2:
The patent implements feedback control by continuously monitoring the EGM-based index and comparing it against the established relationship from calibration. When the index deviates from optimal values, the system automatically adjusts control parameters to restore optimality, creating a closed-loop feedback system that maintains automated optimization based on the pre-established parameter relationships.
Data Source
AI summary
A system and method control a pacing parameter in a closed-loop manner by determining a value of an EGM-based index corresponding an optimal electrical activation condition of a patient's heart and adjusting a pacing therapy to maintain the EGM-based index value. The closed loop control method performed by the system may establish a relationship between an EGM-based index and multiple settings of a pacing control parameter. Values of the EGM-based index are stored with corresponding setting shifts relative to a previously established optimal setting. A processor of an implantable medical device monitors the EGM-based index during cardiac pacing. Responsive to detecting an EGM-based index value corresponding to a non-optimal setting of the control parameter, the processor determines an adjustment of the control parameter from the stored index values and corresponding setting shifts.