Adaptive Neuromodulation Integrity Loss Response
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Solution Overview
Problem
Neuromodulation systems face challenges in maintaining system integrity due to potential damage or degradation of components, leading to sudden or gradual loss of therapy delivery effectiveness.
Innovation Solution
The system incorporates an implantable pulse generator with a microcontroller and memory that checks system integrity, determines losses, and adjusts therapy parameters in response, including obtaining patient feedback to ensure acceptable therapy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system uses traditional threshold-based integrity monitoring, then system reliability is maintained through alerts, but therapy delivery is interrupted until clinical follow-up
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing alternative therapy programs that can be automatically activated when integrity loss is detected. The microcontroller prepares backup parameter sets in advance, so when a threshold breach occurs, therapy can continue uninterrupted with the pre-prepared alternative program rather than waiting for clinical follow-up.
Solution Approach 2:
The system serves itself by automatically detecting integrity loss through threshold monitoring, selecting appropriate alternative therapy programs, and adjusting parameters without requiring immediate clinical intervention. The microcontroller autonomously manages the transition between therapy programs based on real-time integrity assessment, enabling the system to maintain therapy delivery independently.
2Ease of operation
If the system delivers therapy using fixed program parameters, then therapy delivery is simple and reliable, but the system cannot adapt to gradual or sudden changes in system integrity
Solution Approach 1:
The system transitions from static fixed parameters to dynamic adaptive parameters. The microcontroller continuously monitors system integrity and automatically adjusts therapy parameters by selecting from multiple pre-programmed alternative programs. This dynamic adjustment allows the system to maintain effective therapy delivery despite changes in system integrity, whether sudden or gradual.
Solution Approach 2:
The system implements parameter changes by storing multiple sets of therapy parameters with different characteristics in memory. When integrity loss is detected, the microcontroller changes the active parameter set from the original program to an alternative program with modified parameters better suited to the degraded system state, thereby maintaining therapy effectiveness without complex real-time calculations.
3Device complexity
If the system monitors only lead impedance, then device complexity is low, but detection precision of system integrity loss is insufficient
Solution Approach 1:
The microcontroller performs multiple functions using the existing impedance monitoring capability. It not only detects integrity loss but also characterizes the type of failure, selects appropriate alternative therapy programs, and manages parameter adjustments. This multi-functionality allows the system to achieve higher detection precision without adding separate dedicated sensors or monitoring systems.
Data Source
AI summary
Methods and systems for adapting a neuromodulation system to changes in system integrity. A system may check system integrity in response to the passage of time or to an asynchronous trigger. If a loss of system integrity is identified, changes to therapy program parameters are determined and tested for satisfactory performance. The changes to a therapy program may include identifying a new therapeutic target. Physician approval of the change process, as well as final program parameters, is contemplated.