Neurostimulation Control Using Patient Activity Rescheduling

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing neurostimulation systems lack the ability to dynamically adjust stimulation programs based on patient activity, leading to suboptimal therapy delivery and potential side effects.

Innovation Solution

A neurostimulation system that monitors patient activity using external and implantable devices, generates an activity profile, and adjusts stimulation programs in real-time to align with the patient's schedule and clinician-defined rules, rescheduling as needed to ensure optimal therapy delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional patient controller devices are used for neurostimulation, then the system structure is simple, but the system cannot dynamically adjust stimulation programs based on patient activity patterns

Engineering Contradiction:

Improvedynamic adjustment capabilityVSAvoidsystem structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent combines conventional patient controller devices with activity monitoring components (sensors, processors, memory) to create an integrated system that can detect patient activities and automatically adjust stimulation programs. This merging allows the system to gain dynamic adjustment capabilities while building upon existing proven technology.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patient controller device is designed to perform multiple functions: traditional neurostimulation delivery, activity pattern detection through sensors, data processing to identify activities, and automatic stimulation program adjustment. This multi-functionality enables a single device to address both therapy delivery and adaptive control needs.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If activity monitoring components are added to enable dynamic adjustment, then adaptability improves, but device complexity increases

Engineering Contradiction:

Improveactivity-based adjustmentVSAvoidnumber of components

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system incorporates dynamic elements including sensors that continuously monitor patient activities, a processor that analyzes activity data in real-time, and memory that stores activity patterns and stimulation programs. These dynamic components enable the system to adapt stimulation delivery based on detected patient activities while maintaining a structured architecture.

Inventive Principle:

Principle #15Dynamics

3Reliability

If real-time activity monitoring is implemented, then treatment efficacy is improved, but energy consumption increases

Engineering Contradiction:

Improvetreatment efficacyVSAvoidpower consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system employs periodic sampling of activity data rather than continuous monitoring, analyzing patient activities at scheduled intervals to identify activities and adjust stimulation programs. This periodic approach maintains treatment efficacy by capturing relevant activity information while significantly reducing energy consumption compared to continuous real-time monitoring.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS12629525B2System and method for controlling neurostimulation according to user activity and automated rescheduling of stimulation programs

Publication Date: 2026.05.19 ADVANCED NEUROMODULATION SYSTEMS INC

AI summary

This application is generally related to systems and methods for providing a medical therapy to a patient by tracking patient activity and adjusting medical therapy based on occurrence of different types of activities performed by the patient while automatically rescheduling stimulation programs based on detected patient activity.