Neurostimulation Programming via User-Weighted AI Feedback

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Solution Overview

Problem

Existing neurostimulation systems for pain treatment have limited programmability and patient control, often relying on open-loop designs with static stimulation parameters, which can lead to suboptimal treatment outcomes as patients typically only use a few pre-determined programs.

Innovation Solution

A system utilizing artificial intelligence models for closed-loop adjustment, which generates programming values for neurostimulation devices based on multiple therapy objectives provided by patients, allowing for dynamic selection, adjustment, and modification of neurostimulation treatment outputs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If open-loop design with static stimulation parameters is used, then device complexity is reduced, but adaptability deteriorates

Engineering Contradiction:

Improveprogramming complexityVSAvoidtreatment customization

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent implements closed-loop feedback mechanisms where patient responses to stimulation are continuously monitored and used to automatically adjust stimulation parameters. The system collects feedback data from sensors and patient inputs, processes this information through algorithms, and dynamically modifies stimulation delivery without requiring manual reprogramming, thus maintaining low device complexity while achieving high adaptability.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system transitions from static pre-programmed stimulation parameters to dynamic parameter adjustment based on real-time patient needs. Multiple stimulation programs with varying parameters are automatically selected and modified based on patient feedback, allowing the treatment to adapt continuously rather than remaining fixed, thereby resolving the contradiction between simplicity and customization.

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If multiple pre-determined programs are provided, then adaptability is improved, but ease of operation deteriorates

Engineering Contradiction:

Improvetreatment optionsVSAvoidpatient control

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system enables patients to self-manage their treatment by providing intuitive controls that allow direct adjustment of stimulation parameters without requiring knowledge of complex programming. Patients can select from multiple pre-configured programs and make minor adjustments to their own satisfaction, eliminating the need for frequent clinician visits while maintaining ease of use through simplified interfaces.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The complex treatment space is segmented into multiple discrete, pre-configured stimulation programs, each optimized for specific therapeutic goals. Patients can easily navigate between these segmented options without being overwhelmed by the full complexity of parameter space, making the system both adaptable and easy to operate.

Inventive Principle:

Principle #1Segmentation

3Measurement precision

If patient feedback and sensor data are integrated, then measurement precision is improved, but device complexity increases

Engineering Contradiction:

Improvetreatment efficacy monitoringVSAvoidsystem architecture

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges multiple data sources including sensor data from the neurostimulation device and patient feedback inputs into a unified processing system. This integrated approach consolidates measurement functions, allowing the system to comprehensively monitor treatment efficacy through combined data streams without proportionally increasing device complexity, as the processing is handled through coordinated algorithms across device and external components.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS12220581B2User-weighted closed loop adjustment of neuromodulation treatment

Publication Date: 2025.02.11 BOSTON SCI NEUROMODULATION CORP

AI summary

Systems and techniques are disclosed to generate programming parameters and modifications during closed-loop adjustment of an implantable neurostimulation device treatment programming, through the identification and application of weights determined from user input indications and rankings of therapy objectives. In an example, a system to generate programming values of a neurostimulation device performs operations that: obtains human input which indicates multiple therapy objectives for neurostimulation treatment of a human patient; operates a model (such as an artificial intelligence model) to determine parameter outputs for programming of the neurostimulation device; identifies weights, based on the therapy objectives, usable in the model; produces a composite output from the model, by applying the identified weights to a combination of the parameter outputs of the programming model; and the resulting composite output provides neurostimulation device programming values for neurostimulation treatment designed to address the therapy objectives.