Neurostimulation Programming Circuit Therapeutic Threshold Detection
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Solution Overview
Problem
Existing neurostimulation systems face challenges in efficiently programming stimulation parameters to achieve therapeutic effects while minimizing side effects, as the optimal values of these parameters can vary over time and differ significantly between patients.
Innovation Solution
The system incorporates a programming control circuit and a stimulation programming circuit that utilize sensed information to determine a therapeutic effect threshold for adjustable stimulation parameters, allowing for the precise setting of stimulation parameters to produce the desired therapeutic effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stimulation parameters are set to high values to ensure therapeutic effect, then therapeutic efficacy is improved, but side effects increase
Solution Approach 1:
The system dynamically adjusts stimulation parameters (amplitude, pulse width, frequency) based on real-time sensed physiological responses. By continuously monitoring biomarkers and adjusting parameters within a therapeutic window, the system maintains efficacy while minimizing side effects through adaptive parameter optimization rather than fixed high-value settings.
Solution Approach 2:
The system employs closed-loop feedback by sensing physiological responses (such as neural activity or biomarker levels) and using this information to adjust stimulation parameters in real-time. This feedback mechanism ensures the therapy remains within the effective range while avoiding excessive stimulation that causes side effects.
2Reliability
If stimulation parameters are customized for each patient to achieve optimal therapeutic effect, then therapeutic efficacy is improved, but programming complexity increases
Solution Approach 1:
The system performs self-programming by automatically determining optimal stimulation parameters based on individual patient physiological responses. The device autonomously senses patient-specific biomarkers and adjusts parameters without requiring extensive manual programming, thereby achieving personalized therapy while reducing programming complexity.
Solution Approach 2:
The system conducts preliminary sensing and analysis of patient-specific physiological characteristics before finalizing parameter settings. By pre-characterizing patient responses through initial sensing and testing, the system establishes baseline parameters that can be automatically adjusted, reducing the burden of complex manual programming while ensuring personalized efficacy.
3Reliability
If stimulation parameters are adjusted frequently to maintain therapeutic effect over time, then therapeutic efficacy is improved, but time consumption increases
Solution Approach 1:
The system continuously senses physiological parameters and maintains optimal stimulation without interruption. By implementing continuous monitoring and real-time adjustment, the therapy remains effective over time without requiring periodic manual reprogramming, thus eliminating time loss while maintaining efficacy.
Solution Approach 2:
Through continuous feedback from physiological sensing, the system automatically detects changes in patient response over time and adjusts parameters accordingly. This real-time feedback loop maintains therapeutic efficacy without requiring frequent manual intervention or reprogramming sessions, saving time while ensuring consistent effectiveness.
Data Source
AI summary
A neurostimulation system may program a stimulation device to control delivery of neurostimulation according to a set of stimulation parameters and include a stimulation programming circuit. The stimulation programming circuit may include a sensed signal input, threshold detection circuity, and parameter setting circuity. The sensed signal input may be configured to receive sensed information indicative of a therapeutic effect improving a condition being treated using the neurostimulation. The threshold detection circuity may be configured to determine a therapeutic effect threshold of an adjustable parameter using the sensed information. The therapeutic effect threshold can be a minimum value of the adjustable parameter for the delivery of the neurostimulation according to the set of stimulation parameters to produce the therapeutic effect. The parameter setting circuity may be configured to determine the set of stimulation parameters for producing the therapeutic effect using the therapeutic effect threshold of the adjustable parameter.


