Neurostimulator Parameter Testing With Variable Ramp Intervals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing neurostimulation systems face challenges in efficiently programming therapy devices to deliver optimal stimulation parameters while minimizing patient discomfort and side effects.
Innovation Solution
A variable ramping protocol is implemented to adjust stimulation parameters, accelerating increases in imperceptible regions and slowing down changes when discomfort is approached, using a neurostimulator and processing system to test parameter sets through a sequence of values with progressively reduced intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If stimulation parameters are adjusted quickly to reduce programming time, then productivity improves, but patient discomfort and side effects increase
Solution Approach 1:
The patent applies dynamics by transitioning from a static, fixed-rate parameter adjustment to a dynamic, variable-rate adjustment. The parameter change interval is not constant but varies based on the current stimulation level and patient response. The system automatically adjusts the rate of parameter change, using larger intervals when stimulation is low (for speed) and smaller intervals when approaching discomfort thresholds (for safety), thus resolving the contradiction between programming speed and patient comfort
Solution Approach 2:
The patent changes the parameter of parameter adjustment rate from fixed to variable. By implementing a variable parameter change interval that adapts to the stimulation parameter values being tested, the system optimizes both time efficiency and patient comfort. The interval between parameter changes is modified based on the current operational state, allowing fast progression through safe parameter ranges while slowing down near uncomfortable thresholds
2Measurement precision
If stimulation parameters are tested through many values to ensure precision, then measurement precision improves, but loss of time increases
Solution Approach 1:
The system dynamically adjusts the density of parameter testing points based on the current parameter range and patient response characteristics. Instead of uniformly testing all possible parameter values, the system concentrates testing points where they are most needed (near discomfort thresholds) and spaces them out where they are less critical, achieving high precision efficiently
Solution Approach 2:
The system performs preliminary parameter testing at higher intervals to quickly establish safe operating ranges, then transitions to finer interval testing only when necessary. This staged approach allows the system to preliminarily filter out obviously unsafe parameters before conducting precise measurements, reducing overall testing time while maintaining accuracy
Data Source
AI summary
A system may include a neurostimulator and a processing system. The neurostimulator may be configured to deliver electrical energy according to a stimulation parameter set. The stimulation parameter set may include at least one adjustable parameter. The processing system may be configured to perform a testing process to test delivering electrical energy by automatically progressing through a sequence of values for the at least one adjustable parameter in the parameter set. A first value and a second value in the sequence of values are separated by an initial parameter change interval and a second to last value and the last value in the sequence of values are separated by a final parameter change interval. Progressing through the sequence of values includes reducing the parameter change interval from the initial parameter change interval to the final parameter change interval.


