ECAP-Guided Stimulation Programming for Lead Migration Control

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Solution Overview

Problem

Existing electrical stimulation therapies face challenges in adjusting stimulation parameters in response to patient movement or lead migration, leading to transient overstimulation or reduced therapeutic efficacy due to changing electrode-target tissue distances.

Innovation Solution

A medical device adjusts stimulation parameters based on evoked compound action potentials (ECAPs), using a therapy-management application to customize and modify control policies through a graphical user interface (GUI) for real-time feedback and automatic adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If stimulation intensity is increased to maintain therapeutic efficacy, then treatment effectiveness is improved, but transient overstimulation occurs when electrode position shifts

Engineering Contradiction:
Improvetherapeutic efficacyVSAvoidtransient overstimulation
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system continuously monitors ECAP amplitudes and uses this feedback to automatically adjust stimulation intensity. When electrode position shifts cause ECAP amplitude changes, the system responds by modifying stimulation parameters to maintain therapeutic efficacy while preventing overstimulation, thus resolving the contradiction between reliability and harmful effects.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system dynamically changes stimulation parameters (intensity, pulse width, frequency) based on real-time ECAP measurements. By adjusting these parameters in response to electrode position shifts, the system maintains consistent therapeutic effect without causing transient overstimulation, addressing both the reliability and harm prevention requirements.

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If fixed stimulation parameters are used, then device complexity is reduced, but therapeutic efficacy decreases due to lead migration or patient movement

Engineering Contradiction:
Improvecontrol policyVSAvoidtherapeutic efficacy
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The system performs self-adjustment by automatically monitoring ECAP signals and modifying stimulation parameters without requiring external intervention. This self-service capability maintains therapeutic efficacy despite lead migration or patient movement while avoiding the complexity of manual reprogramming or complex control algorithms.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses ECAP feedback to automatically adjust stimulation parameters, creating a closed-loop control system that adapts to changing conditions. This feedback mechanism maintains therapeutic efficacy without requiring complex predetermined control policies, as the system learns and adapts based on real-time physiological responses.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If manual programming is used to adjust stimulation parameters, then adaptability to patient-specific characteristics is improved, but time consumption and operational complexity increase

Engineering Contradiction:
Improvepatient-specific characteristicsVSAvoidprogramming time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system automatically adapts to patient-specific characteristics by monitoring ECAP responses and adjusting parameters accordingly, eliminating the need for time-consuming manual programming. The self-service capability captures patient-specific neural responses and uses them to optimize stimulation parameters, achieving adaptability without increasing operational time.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary ECAP measurements to establish baseline patient-specific characteristics, then uses this information to automatically configure optimal stimulation parameters. This preliminary action captures essential patient-specific data that enables subsequent automatic adaptation, reducing the need for extensive manual programming while maintaining high adaptability.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system effectively prevents transient overstimulation and maintains therapeutic efficacy by dynamically adjusting stimulation parameters in response to changes in electrode position relative to the target tissue, enhancing patient comfort and treatment effectiveness.

Implementation Method 1

Electrical stimulation may be delivered to a patient by the medical device in a train of electrical pulses

Methodology Applied
Scientific EffectElectrical stimulation: Electrical Impedance Tomography

Implementation Method 2

An evoked compound action potential (ECAP) is synchronous firing of a population of neurons which occurs in response to the application of a stimulus including, in some cases, an electrical stimulus by a medical device

Methodology Applied
Scientific EffectEvoked compound action potential:

Data Source

PatentUS12508433B2Therapy programming based on evoked compound action potentials
Publication Date: 2025.12.30 MEDTRONIC INC
  • US12508433B2 patent drawing
  • US12508433B2 patent drawing
  • US12508433B2 patent drawing

AI summary

This disclosure is directed to devices, systems, and techniques for controlling electrical stimulation. In some examples, a computing device includes a therapy-management application configured to assist a user to: capture a representative evoked compound action potential (ECAP) signal from a patient based; apply one or more filters to the representative ECAP signal to select one or more parameters of the representative ECAP signal; and control electrical stimulation therapy based at least in part on the one or more parameters.