Neuromodulation Polarity Translation for Faster Therapy Reprogramming
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Solution Overview
Problem
Existing neuromodulation systems face challenges in efficiently and accurately translating between cathodic and anodic parameter settings to adapt to changing patient conditions and minimize unintended effects, lacking guidance on how to convert from cathodic to anodic settings.
Innovation Solution
The system includes a neuromodulation parameter translator that automatically translates between cathodic and anodic settings by adjusting parameters such as polarity, amplitude, and fractionalization, using scale factors, look-up tables, and fractionalization models to optimize neuromodulation delivery based on target and avoidance regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual translation between cathodic and anodic parameter settings is performed, then flexibility in adapting to patient conditions is improved, but time consumption and programming complexity increase
Solution Approach 1:
The system automatically translates parameter settings between cathodic and anodic configurations without requiring manual intervention. The translation module detects when a translation trigger occurs and autonomously converts the parameter settings, allowing the system to serve itself in adapting to changing patient conditions while minimizing programming time and complexity.
2Productivity
If automatic translation between cathodic and anodic settings is implemented, then programming efficiency is improved, but system complexity increases
Solution Approach 1:
A translation module is introduced as an intermediary component between the parameter setting storage and the neuromodulator. This module handles the complex translation logic between cathodic and anodic settings, automating the conversion process while managing the system complexity in a modular and controlled manner.
3Reliability
If parameter translation is performed, then therapeutic efficacy is maintained during polarity changes, but risk of translation errors increases
Solution Approach 1:
The system incorporates feedback mechanisms to verify the accuracy of parameter translations. The translation module compares the translated anodic settings against the original cathodic settings using established translation rules and scale factors, ensuring that therapeutic efficacy is maintained while minimizing translation errors through validation checks.
Data Source
AI summary
A system for adjusting neuromodulation parameters used by a neuromodulator operably connected to a plurality of electrodes to modulate a neural target, may comprise a translation trigger detector configured to determine that a translation trigger has occurred, a first parameter setting storage configured to store first parameter settings for use by the neuromodulator to modulate the neural target, and a neuromodulation parameter translator. The neuromodulation parameter translator may be operably connected to the translation trigger detector to automatically translate the first parameter settings into a second parameter settings in response to determining the translation trigger has occurred, and replace the first parameter settings with the second parameter settings, or store the second parameter settings in a second parameter setting storage. Automatically translating may include either automatically translating from cathodic parameter settings to anodic parameter settings, or automatically translating from anodic parameter settings to cathodic parameter settings.


