Nerve-to-Electrode Distance Estimation via Compound Action Potential

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Solution Overview

Problem

Current neuromodulation systems face challenges in maintaining effective and comfortable neural stimulation due to variations in nerve-to-electrode distance caused by electrode migration and postural changes, leading to suboptimal therapeutic effects and unwanted side effects, while also requiring efficient energy use to prolong battery life.

Innovation Solution

A method and device that estimate nerve-to-electrode distance by applying stimuli with defined parameters, obtaining compound action potential measurements, and processing them to apply a single fibre model, allowing for adjustments in therapeutic regimes and efficient energy use.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If fixed current stimulation is used in spinal cord stimulation, then the system is simple to operate, but the therapeutic effect deteriorates due to variations in nerve-to-electrode distance from electrode migration and postural changes

Engineering Contradiction:
Improvesimplicity of stimulation deliveryVSAvoidtherapeutic effect consistency
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system measures compound action potentials (CAPs) in response to electrical stimuli and uses this feedback to dynamically adjust stimulation parameters. The processor continuously monitors CAP amplitude and modifies stimulus delivery to maintain optimal therapeutic effect despite changes in electrode-nerve distance caused by migration or postural variations

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The stimulation system transitions from fixed current delivery to dynamic parameter adjustment. The processor automatically modifies stimulus amplitude, pulse width, or frequency based on real-time CAP measurements, allowing the system to adapt to changing anatomical conditions while maintaining consistent therapeutic outcomes

Inventive Principle:
Principle #15Dynamics

2Reliability

If stimulus amplitude is increased to maintain recruitment above threshold, then neural recruitment is effective, but uncomfortable or painful percepts arise due to recruitment of Aδ fibres

Engineering Contradiction:
Improveneural recruitment effectivenessVSAvoiduncomfortable or painful percepts
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system optimizes stimulation parameters by adjusting amplitude, pulse width, and frequency based on CAP feedback. This allows the system to deliver minimal effective stimulus that achieves adequate neural recruitment without exceeding the comfort threshold, thereby preventing unwanted percepts while maintaining therapeutic effectiveness

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system uses sub-threshold or threshold-level stimuli that are just sufficient to recruit the desired neural fibers (typically Aβ fibres for pain modulation) without excessively recruiting more sensitive Aδ fibres that cause discomfort. The feedback mechanism ensures adequate recruitment while avoiding over-stimulation

Inventive Principle:
Principle #16Partial or excessive action

3Reliability

If higher stimulus amplitude is applied to compensate for increased nerve-to-electrode distance, then neural recruitment is maintained, but energy consumption increases

Engineering Contradiction:
Improveneural recruitment consistencyVSAvoidpower consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The CAP measurement system provides continuous feedback on neural response quality, allowing the processor to adjust stimulus amplitude only to the extent necessary to maintain effective recruitment. This prevents excessive energy consumption by avoiding unnecessarily high stimulus levels while ensuring adequate neural activation despite distance variations

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system dynamically optimizes stimulus parameters based on real-time CAP feedback, adjusting amplitude, pulse width, or frequency to achieve minimal effective stimulation. This efficient parameter optimization maintains neural recruitment consistency while minimizing energy consumption compared to fixed high-amplitude approaches

Inventive Principle:
Principle #35Parameter changes

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

This approach enables precise estimation of nerve-to-electrode distance, optimizing stimulus delivery, reducing side effects, and minimizing energy consumption, thereby enhancing the effectiveness and longevity of neuromodulation systems.

Implementation Method 1

An electrical pulse applied to the dorsal column by an electrode causes the depolarisation of neurons, and generation of propagating action potentials

Methodology Applied
Scientific EffectElectrical stimulation: Electric Field

Implementation Method 2

A CAP measurement system measures a compound action potential (CAP) in response to electrical stimuli applied by a stimulus electrode

Methodology Applied
Scientific EffectElectrical signal detection: Electric Field

Data Source

PatentUS20240316345A1Electrode to nerve distance estimation
Publication Date: 2024.09.26 SALUDA MEDICAL PTY LTD
  • US20240316345A1 patent drawing
  • US20240316345A1 patent drawing
  • US20240316345A1 patent drawing

AI summary

Estimating a nerve-to-electrode distance involves applying a stimulus from a stimulus electrode to a nerve. Neural measurements of at least one evoked compound action potential are obtained, and processed in order to estimate an originating state of stimulation exhibiting at least one characteristic defined by a single fibre size. A single fibre model is then applied to produce a measure of the nerve-to-electrode distance. Also provided for is estimation of a distribution of recruited fibres. Measurements of a compound action potential are obtained from sense electrodes spaced apart along a neural pathway. A conduction velocity of the compound action potential is determined from the latency between the measurements. From the conduction velocity a dominant recruited fibre diameter is determined. A rate of dispersion of the compound action potential between the sense electrodes is determined. From the rate of dispersion a distribution of diameters of the recruited fibre population is determined.